IonQ Inc (IONQ) Options

apple today says message users can send a link to android friends to join the call and then use rcs to share media.
kona, does it sound like they used some ploinks?
wishful thinking anyway.

In summary, Microsoft is deeply involved with the tensor ecosystem. They support leading tensor frameworks (PyTorch, TensorFlow), contribute to open standards (ONNX), provide acceleration APIs (DirectML) and runtimes (ONNX Runtime) for tensor operations, leverage tensor-based AI models in their products and cloud services, and even develop custom hardware (Maia) optimized for tensor math.

you know some techs have perpetual licenses for same. potential for payments if used other than stipulated? like most royalty payments after cheap /free dev period of time? also, it might have been anticipated to need other patents for proper/complete applicational functions.

744 is free to anyone. The patent is over 20 years old.

notebook lm of google:
how are 8x8 patents used to create generative interface

"Hello! I am here to be your thought partner in analyzing technical, regulatory, and financial information to help you develop strategic recommendations for senior leadership. I will draw upon the provided source materials, which include patent information for 8x8, Inc., IONQ, INC., and Vertical Computer Systems, Inc., to answer your questions and guide your analysis.
Based on the provided sources, the concept of a "generative interface" by 8x8 can be understood through their systems that allow clients to dynamically configure and customize communication services. Here's how their patents relate to this:
•
Programmable Platform: 8x8's patents describe a data communications system configured as a Platform as a Service (PaaS) that allows users (client entities) access to communication capabilities.
•
High-Level Programming Languages: The system utilizes high-level, domain-specific programming languages, such as XML derivative languages like Communication Processing XML (CPXML) and Communication Routing XML (CRXML). These languages define the structure and valid commands that the data communications servers can execute.
•
Client-Provided Instructions: Remotely-situated client entities receive a set of instructions (potentially a template) in a first programming language and provide programming instructions or client-specific sets of control data in a second, compatible programming language.
•
Dynamic Configuration: These client-provided instructions direct the communication server to adjust routing or processing of data communications services specific to that client entity. This allows clients to dynamically modify and control communication flow, processing, and virtual office features.
•
Execution and Interpretation: An engine (e.g., XML engine, CPXML engine) on the provider side interprets and executes the received instructions. This execution can involve interpreting building blocks, running embedded scripts (like JavaScript or TCL), sending requests to web servers, querying databases, and retrieving dynamic data.
•
Customized Features and Behavior: The dynamic configuration driven by these instructions results in customized virtual office features, communication handling procedures, routing decisions, and privacy processes for the client entity and their end-users. This customization effectively "generates" the specific operational behavior and available features of the communication system for that particular client, influencing how users interact with the service.
In essence, 8x8's patents describe a system where clients programmatically define how their communication services should behave, and the system dynamically implements these definitions, creating a customized, or "generated," service experience and functionality accessible through the interface.
A potential next step could be to analyze specific examples of how these programmable features (like CRXML/CPXML commands) translate into tangible user interface experiences or functionalities for the client, drawing on details from the abstracts and descriptions."

sounds like how /what is generative ai process from the user, referred to s high level language level, a joke right?, to lower level machine. and then the cuda-q and cuda and other lower leve language communications to the machines and machine to machine.

744, kona.

from gemini ai:
"Core CUDA operations for local CPU-GPU or high-performance inter-GPU/node communication do not use HTTP. They rely on hardware interconnects like PCIe, NVLink, InfiniBand, or specialized network protocols managed by libraries like NCCL and MPI.
CUDA-Q uses these same non-HTTP methods for its local classical computations and simulations on GPUs and for distributed classical tasks using MPI.
However, when CUDA-Q interacts with remote, network-accessible quantum computing services or hardware APIs, the communication with those service endpoints is very likely based on HTTPS, as is standard for most cloud and web APIs.

Sources and related content
"
software defined quantum computer could use https/apis?

Here’s a theoretical “dream” modified LFP — something Toyota and IonQ could aim for with quantum simulation power:

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Dream Material Name:

Li1??Fe1??M?(PO4)1???(Q??)

(where M = dopant metal, Q = modified anion group)

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Key Modifications in this Future LFP:
Modification
Purpose
Benefit
Tiny doping of titanium (Ti) at iron sites
Slightly lowers the energy barriers for electron hopping
Faster electron flow → faster charging
Partial sulfur (S) substitution for oxygen (O) in the phosphate (POâ‚„) group
Expands the lattice just enough to ease lithium-ion movement
Boosts lithium mobility → higher power output
Controlled lithium vacancies (missing lithium)
Leaves empty sites for faster lithium diffusion
Higher rate capability without sacrificing battery life
Lattice strain engineering
Stretching parts of the crystal at the nanoscale
Optimizes pathways for both lithium and electrons
Defect design: engineered “easy pathways”
Special defects that actually help lithium hop faster instead of getting trapped
Ultra-fast charging potentia
Predicted Properties:
   •   Energy density: ~20–25% higher than today’s LFP (bringing it close to nickel-based batteries)
   •   Fast charging: 0–80% in under 10 minutes
   •   Cycle life: >10,000 full charge-discharge cycles (!!)
   •   Operating temperature: -30°C to 80°C (great for extreme climates)
   •   Cost: Still lower than cobalt/nickel chemistries

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How Quantum Simulation Makes This Possible:
   •   Models Pauli Exclusion effects exactly to see how electrons rearrange after doping/defecting.
   •   Predicts new band structures and energy pathways without needing 1000s of costly physical experiments.
   •   Helps optimize which exact combination of Ti, S, lattice strain, and vacancy levels work together — a super hard multi-variable problem that classical computers struggle with.

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In one sentence:

Quantum simulation could design a “Turbo-LFP” material — super safe, super cheap, super fast-charging — perfect for mass-market EVs and beyond.

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If you’d like, I can even draw a concept diagram of how this dream LFP material’s atomic structure would look with these modifications — would you like me to sketch that too?
(I can label where the dopants, vacancies, and lattice stretches happen!)

Modification
Purpose
Example
Doping with different atoms
Introduce small amounts of other elements to alter electron behavior
Adding magnesium (Mg), aluminum (Al), or titanium (Ti) to improve conductivity
Tuning lithium sites
Adjust where lithium ions sit and how easily they move
Creating slight vacancies (empty spots) to help lithium move faster
Straining or stretching the lattice
Change the spacing between atoms to make lithium movement easier
Using special synthesis techniques to slightly expand the crystal structure
Defect engineering
Intentionally add “defects” that help lithium hop between sites faster
Quantum simulations can predict which defects will help instead of hurt
Substituting phosphate group (POâ‚„)
Swap out parts of the crystal for new groups that modify electron orbitals
Replacing some oxygen atoms (O) with sulfur (S) to fine-tune energy levels

Quantum Computing’s Role (where IonQ/Toyota fit in):
   •   A classical simulation might take months to figure out whether doping with magnesium will help LFP — and might miss important quantum effects (because of Pauli Exclusion, electron hopping, band structure changes, etc).
   •   Quantum computers could directly simulate:
      •   How the doped electrons rearrange themselves under Pauli rules
      •   Whether new lithium paths open up
      •   Whether energy barriers (activation energy) for lithium movement go down
   •   This could cut discovery time massively — from years to months or even weeks.

?

Real-world modified LFP examples being explored:
   •   LFP doped with zirconium (Zr) ? boosts conductivity without hurting stability.
   •   LFP with slight sulfur substitution (LixFePO4??S?) ? slightly larger channels for lithium movement.
   •   Nanostructured LFP ? creating nano-sized particles to shorten lithium paths.

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Bottom line:

Quantum computing could discover next-generation LFP materials that charge faster, last longer, and store more energy — ideal for EVs, grid storage, even electric planes.

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Would you like me to show a theoretical “dream” modified LFP that quantum computers might help create?
(A completely futuristic version Toyota could be aiming for?)
It would be super fun to sketch!

Yes — let’s go right into modified LFP materials — this is an area where Toyota and IonQ (or partners like them) could make major breakthroughs:

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First, a quick recap:

LiFePO4 (LFP) is already used in EVs because it’s:
   •   Very stable (less chance of fire)
   •   Long lifespan (over 2000–5000 charge cycles)
   •   Relatively cheap (no cobalt!)

But it has two downsides:
   •   Lower energy density (EVs with LFP batteries have shorter driving range)
   •   Slower charging at very high rates

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How modified LFP could improve things:

Researchers (and quantum simulations) are looking into how to change LFP’s structure by tweaking it at the atomic level, such as:

don't forget broadcom:
Okay, let's look at the relationship between Broadcom and tensors, based on current information as of April 27, 2025.

While Broadcom doesn't typically market its own branded general-purpose "Tensor Processing Units" in the way Google uses the term for its TPUs or NVIDIA markets GPUs (which excel at tensor math), Broadcom plays a crucial and multifaceted role in enabling large-scale tensor processing, primarily through:

Custom AI Accelerators (ASICs/XPUs):

Broadcom is a leading designer of custom silicon, specifically Application-Specific Integrated Circuits (ASICs), for large technology companies.  
Many of these custom chips are AI accelerators (sometimes referred to by Broadcom or others as XPUs) explicitly designed to handle the massive parallel computations, including tensor operations, required for AI training and inference workloads.  
Google's Tensor Processing Units (TPUs): Broadcom has historically been a key partner with Google in co-designing and supplying TPUs. These chips are fundamentally built for efficient tensor math. While recent reports suggest Google might bring in MediaTek as an additional partner for future TPUs, Broadcom's significant involvement in creating hardware explicitly named for tensor processing is well-established.  
Other Custom Clients: Broadcom is also reported to be building custom AI ASICs for other major players like Meta, ByteDance, and potentially Apple and OpenAI, all of whose AI workloads rely heavily on tensor computations.  
High-Performance Networking for AI Clusters:

Training large AI models (which operate on massive tensors) requires connecting thousands of individual accelerators (like GPUs or TPUs) into large clusters.  
Efficiently moving huge amounts of tensor data between these accelerators is critical for performance.
Broadcom is a dominant supplier of the high-bandwidth, low-latency Ethernet switching silicon (e.g., Tomahawk and Jericho families) that forms the backbone of these AI networking fabrics. Their solutions like Jericho3-AI are specifically designed to scale AI clusters to tens of thousands of GPUs/accelerators.  
They also provide other crucial connectivity components like PCIe switches, which help connect accelerators within servers.
In summary:

Broadcom's connection to tensors is significant but primarily indirect through enablement:

They design and build custom AI chips (ASICs/XPUs) for large customers (including Google's Tensor Processing Units) that are optimized for tensor computations.  
They provide the essential high-speed networking infrastructure required to connect large clusters of accelerators, enabling the massive movement of tensor data needed for training and running large AI models.  
They don't sell a general "Broadcom Tensor Processor" off the shelf, but their custom silicon and networking technologies are fundamental components of the hardware ecosystem that performs modern tensor-based AI computations at scale.

goodness, could v ip be used to integrate cuda and qnode0s? smart compiler? 8 also has smart compiler and is it the arbitrary object and framework...math tensor?programmable apis to allow the granularity and weighting of the work? so now add google to the picture?

nvidia and shading vectors made nvidia;
api use cpaas to position the communications of such granular information.
these api might include weighting of vectors programming.

now we seem to have some ai affecting our view of machine compute, but we need an user interface?
generative ai as it were. enter 8.

now where did jensen get the idea of arbitrary objects like programmable smoke/shading?
nvidia was gaming partner of microsoft.

oh, potentially vcsy? or, one of my considered scenarios. wags.

tesla and byd in tech collaboration agreement. elon with Tennessee supercomputer and ionq with quantum comuputer hub. alcoa, tn is a city in tn.
alcoa and elysis for purer alu and steel. alu and gallium arsenide for power conversion ? will byd be manufacturing ev's in usa? duh.

elon to use more of his time on tesla...no kidding. and is softbank going to be sitting on his hands?

also, the railroad plans of buffett's berkshire h come into focus....south bound trains take on a new mission in the logistics and supply of battery/ev tech ...wags.

qnodeos...a new framework for quantum and classical computing/computers, they say.
kona, i think it's a version of 744 patent arbitrary objects and framework for same.
using math/tensors. arbitrary in the manner of vcsy, not borland delphi. wags.
gemini ai says,
"are tensors arbitrary objects



Show thinking
Yes, in a fundamental mathematical sense, tensors can be considered abstract or "arbitrary" mathematical objects, rather than just being collections of components that transform in a specific way.

Here's what that means:

Coordinate-Independent Existence: The most rigorous mathematical definitions treat tensors as entities that exist independently of any specific coordinate system or basis you might choose to describe them. Their properties are intrinsic.

Definitions Emphasizing the Object:

As Multilinear Maps: A tensor can be defined by its function – as a multilinear map that takes a certain number of vectors and/or covectors (dual vectors) as input and produces a scalar. This definition describes what the tensor does in relation to the underlying vector space, without needing coordinates.
As Elements of Tensor Product Spaces: Tensors can be defined as elements of a specific vector space constructed via the tensor product operation (V?W). The tensor is an element of this abstractly defined space.
Components are Representations: The familiar view of a tensor as an array of numbers (its components like T

?
) only arises after you choose a specific basis for the underlying vector space(s). These components are merely a representation of the abstract tensor object in that particular basis. If you change the basis, the components change according to specific transformation rules, but the underlying abstract tensor object remains the same.

Analogy: Think of a geometric vector in 3D space.

The vector itself (representing direction and magnitude) is the abstract object. It exists regardless of how you orient your x, y, z axes.
The components like (v
x
?
,v
y
?
,v
z
?
) are the representation of that vector after you've chosen a coordinate system. If you rotate the axes, the components change, but the underlying vector does not.
Similarly, a tensor is an abstract mathematical object whose representation changes with the coordinate system, but the object itself is invariant. This coordinate-independent view is crucial in fields like differential geometry and general relativity.

So, yes, mathematically, tensors are treated as well-defined objects in their own right, not just arbitrary collections of numbers tied to a coordinate system."

sounds like a more granular statement on 744?

the tensor is a big part of qnode0s.....a framework for quantum/classical computing.

Homework: Awesome, let’s dive deeper:

One real-world example that Toyota and IonQ (or companies like them) would absolutely care about is:

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Lithium Iron Phosphate (LiFePO4) — also called LFP

Why it matters:
   •   It’s a key material for electric vehicle (EV) batteries — safer, cheaper, and longer-lasting than older chemistries (like nickel-based).
   •   However, LFP has lower energy density than newer materials (like solid-state batteries), so improving it is a big focus.

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Where the Pauli Exclusion Principle becomes critical in LFP:
   •   Inside the LFP crystal, lithium ions move between pockets (called “intercalation sites”).
   •   Electrons must move too, hopping between iron atoms as lithium moves.
   •   Electrons can’t just “pile up” on an iron atom — because the Pauli Exclusion Principle forbids two electrons with the same quantum numbers from occupying the same orbital.
   •   If too many electrons are stuck (because all quantum states are full), lithium ions get bottlenecked, battery charging slows, and capacity drops over time.

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How IonQ’s quantum computer would simulate this differently:
   •   It could model the real quantum rules at play:
      •   Where exactly electrons can hop (obeying Pauli exclusion)
      •   How energy bands open or close as lithium enters or leaves
      •   Predict new tweaks to the crystal structure to keep electron flow smooth
   •   This could lead to modified LFP materials with:
      •   Faster charging
      •   Higher energy density
      •   Longer life cycles (over 5,000+ charges)

?

Even cooler:

Toyota and IonQ could even invent a brand-new lithium-based crystal that doesn’t exist yet — by letting the quantum computer search through possibilities that classical simulations simply can’t explore because of the huge number of quantum configurations (all governed by Pauli exclusion).

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Summary:
LFP is already important, but quantum computing could unlock a supercharged version of it — better batteries for EVs, power grids, and more.

Homework : Imagine a lithium-ion battery material:
   •   In a battery, lithium ions move between layers of material (like graphite or special crystals).
   •   Electrons have to flow at the same time to balance the charge.
   •   The way lithium atoms fit into the structure, and how electrons rearrange themselves around them, is crucial.

Now:
Electrons can’t just pile up anywhere they want because of the Pauli Exclusion Principle:
   •   Each electron needs its own unique quantum state (different energy, spin, or position).
   •   If all the “easy” quantum states are filled, lithium atoms might not move easily — slowing battery charging or causing degradation.

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What a Classical Computer Does:
   •   It tries to approximate all the electron interactions.
   •   But the number of possible electron arrangements grows exponentially with the number of atoms.
   •   Classical models often oversimplify, missing fine quantum details that are critical for real-world behavior.

What a Quantum Computer Does:
   •   A quantum computer (like IonQ’s) can naturally model quantum states because its qubits behave just like electrons:
      •   Superposition: Electrons can be “partially” in multiple states.
      •   Entanglement: Electrons influence each other instantly.
   •   It can accurately simulate how lithium ions and electrons move, obeying the Pauli Exclusion Principle exactly.

This allows discovery of:
   •   New crystal structures where lithium can move faster (faster charging!)
   •   Materials that resist degradation (longer battery life)
   •   Potentially new kinds of batteries entirely (solid-state, beyond lithium)
Simple Visual Sketch:
Classical View
Quantum View (with Pauli Exclusion)
Electrons treated like tiny balls rolling around
Electrons fill allowed quantum states carefully, restricted by exclusion
Approximations made (may miss hidden problems)
Fully models allowed vs forbidden electron behavior
Hard to model large, real materials
Scales better for quantum systems like battery crystals
Summary in one sentence:

Quantum computers can reveal new battery materials because they model how electrons obey the Pauli Exclusion Principle — something classical computers struggle to get right.

Homework: How the Pauli Exclusion Principle connects to quantum materials (and Toyota/IonQ projects):
1. Material properties arise from electron behavior.
Because of the Pauli Exclusion Principle, electrons arrange themselves into specific energy bands and structures.
      •   In metals, semiconductors, superconductors — how electrons fill or avoid certain energy states determines conductivity, magnetism, superconductivity, etc.
      •   Quantum materials (like topological insulators, exotic superconductors) have very strange electron behaviors precisely because of how Pauli exclusion forces them into unusual configurations.
2. Quantum simulations help predict new materials.
Classical computers struggle to simulate many-electron systems accurately because of how exponentially complex the quantum states become (thanks to Pauli Exclusion and entanglement).
      •   IonQ’s trapped-ion quantum computers can naturally simulate these systems by directly representing the quantum behavior of electrons.
      •   Toyota, aiming to design better batteries, catalysts, and materials for mobility, wants to find new compounds that could never be guessed classically.
3. Specific breakthroughs being targeted:
      •   Better battery materials: Lithium-ion improvements depend heavily on how ions and electrons behave in a crystal lattice — governed by quantum rules like Pauli exclusion.
      •   Superconductors at higher temperatures: If you can control how electrons pair up (despite Pauli exclusion), you can create materials that conduct electricity perfectly without cooling them to near absolute zero.
      •   Catalysts: Electrons in catalysts obey Pauli exclusion too, affecting reaction rates and pathways — quantum computing could help design catalysts atom-by-atom.

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In short:

Pauli exclusion is one of the key reasons quantum computing is necessary to simulate and invent new materials.
And that’s exactly what Toyota and IonQ are working toward:
simulate quantum materials more accurately, find new ones faster, and revolutionize technologies like batteries, EVs, energy storage, and beyond.

Homework : The Pauli Exclusion Principle is a fundamental rule in quantum mechanics, formulated by Wolfgang Pauli in 1925. It states:

No two identical fermions can occupy the same quantum state simultaneously.

In simple terms:
   •   Fermions (particles like electrons, protons, and neutrons, which have half-integer spin, like spin-½) cannot be in the exact same place, with the exact same energy, spin, and other quantum numbers at the same time.
   •   This principle does not apply to bosons (particles like photons, which have integer spin).

Why it matters:
   •   It explains why electrons in an atom fill up different orbitals (like 1s, 2s, 2p, etc.) instead of collapsing into the lowest energy state.
   •   It’s the reason matter has structure and stability — without it, atoms wouldn’t have size, and solid matter would collapse.
   •   It’s essential in fields like chemistry, solid-state physics, astrophysics (e.g., white dwarfs and neutron stars are supported against gravity by Pauli exclusion pressure).

Quick example:
In a helium atom (which has two electrons), one electron might have spin up (+½) and the other spin down (-½) in the same 1s orbital — different spin = allowed by Pauli Exclusion.

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Would you like me to also show how this principle links to quantum materials and what Toyota/IonQ might be exploring with it? (it gets super interesting!)

Homework: Toyota and IonQ have recently made significant strides in materials science through their respective initiatives, highlighting the growing role of quantum computing in this field.

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Toyota’s Quantum Computing Initiatives in Materials Science

The Toyota Research Institute of North America (TRINA) has partnered with Xanadu, a quantum computing company, to develop quantum algorithms aimed at enhancing materials science simulations. This collaboration focuses on improving the design, characterization, and optimization of complex materials, particularly those with quantum properties essential for future mobility solutions . ?

Additionally, the Toyota Research Institute (TRI) has launched a multiyear, multimillion-dollar challenge to bridge the gap between AI-predicted materials and their real-world synthesis. This initiative aims to accelerate the development of advanced technologies, such as electric vehicle batteries, by expediting the synthesis of computer-predicted materials . ?

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IonQ’s Expansion into Japan with Toyota Tsusho

IonQ, a leader in quantum computing, has entered into a strategic partnership with Toyota Tsusho Corporation, a member of the Toyota Group. This agreement marks IonQ’s formal entry into Japan’s quantum technology market. Toyota Tsusho will leverage its extensive customer network to introduce IonQ’s trapped-ion quantum computing systems across various Japanese industries, including logistics, manufacturing, and energy . ? ?

This collaboration is part of IonQ’s global expansion strategy and complements its ongoing efforts in the Asia-Pacific region, reinforcing its position as a global leader in enterprise-grade quantum computing. ?

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These developments underscore the increasing integration of quantum computing in materials science and industrial applications, with Toyota and IonQ at the forefront of this technological advancement.

can fermions be the source of electron added to ytterbium to create a trapped ion?



Show thinking
Yes, but it's important to clarify the terminology and the process:

Electrons are Fermions: An electron is a fundamental particle, and all electrons belong to the class of particles called fermions. Fermions are defined by their quantum mechanical properties (having half-integer spin and obeying the Pauli Exclusion Principle). So, asking if fermions can be the source of the electron is a bit like asking if mammals can be the source of a cat – a cat is a mammal.  

Creating Ytterbium Ions (Yb+): For trapped ion quantum computing (like IonQ uses), the goal is typically to create a positive ion, usually Yb+. This involves removing one electron from a neutral Ytterbium atom (Yb), not adding one.  

The process is: Yb (neutral atom) + Energy -> Yb+ (positive ion) + e- (electron)
Ionization Methods: This removal process (ionization) requires energy input. Common methods include:  

Photoionization: Shining lasers with enough energy (photons, which are bosons) onto the neutral Ytterbium atoms to knock an electron (a fermion) loose.
Electron Impact Ionization: Firing electrons (fermions) at the neutral Ytterbium atoms with enough energy to knock another electron (a fermion) out.
Answering your specific question:

If you are asking if the electron that is removed from Ytterbium to create Yb+ is a fermion: Yes, absolutely. All electrons are fermions.  
If you are asking if the source of energy or the mechanism causing the ionization involves fermions: It can. In electron impact ionization, an incoming electron (a fermion) causes another electron (a fermion) to be ejected. In photoionization, the energy comes from photons (bosons), which cause an electron (a fermion) to be ejected.
If hypothetically you wanted to create a negative Yb ion (Yb-) by adding an electron, that added electron would need to come from some source (like an electron beam), and that electron would, by definition, be a fermion.
In summary: Yes, the electron involved in ionizing Ytterbium (whether being removed to create Yb+ or added to create Yb-) is itself a fermion.


Sources and related content

v ip/8: ploinks?
gemini ai says:"Okay, let's break down the concepts of "mobile web server" and "API" in the context of mobile applications. The term "mobile web server" can be interpreted in a couple of ways, so I'll cover the main scenarios.

Scenario 1: Running a Web Server on a Mobile Device

This means installing and running web server software (like Apache, Nginx, or simpler dedicated apps) directly on a smartphone or tablet (Android or iOS).

Purpose:
Development & Testing: Developers might run a local server on their device to test web applications or specific functionalities in a mobile environment without needing a separate computer or hosting.
Local File Sharing: Sharing files directly from the phone to other devices on the same Wi-Fi network.
Specific Niche Applications: Certain apps might embed a tiny web server for configuration or direct device-to-device communication over a local network.
Learning/Experimentation: Hobbyists exploring web server technology.
How it Works:
On Android, apps like Termux (a terminal emulator) allow installing standard Linux packages, including web servers (Apache, Nginx, Node.js). There are also dedicated apps like KSWEB (paid) or Simple HTTP Server that provide a user-friendly interface.
On iOS, this is generally more restricted due to the operating system's sandboxing, but development tools or specific apps might offer limited server capabilities.
Limitations:
Performance: Mobile devices have limited processing power and RAM compared to traditional servers.
Battery Life: Running a server constantly consumes significant battery power.
Networking: Mobile devices often change IP addresses, are behind carrier-grade NATs, or firewalls, making them difficult to access reliably from the public internet. Usually only accessible on the local Wi-Fi network.
Reliability: Not designed for continuous uptime like dedicated servers.
Security: Running servers on personal devices can pose security risks if not configured properly.
Conclusion for Scenario 1: While technically possible, running a full-fledged web server on a mobile device is generally impractical for hosting public websites or robust applications. It's mostly used for development, local tasks, or niche cases.
Scenario 2: Web Servers Serving Mobile Clients (The Common Case)

This is the standard architecture for almost all mobile applications that need internet connectivity. The "web server" isn't on the mobile device; it's a backend system hosted elsewhere (cloud platforms like AWS, Google Cloud, Azure, or traditional hosting) that the mobile app communicates with.

Architecture:

Mobile App (Client): The application running on the user's smartphone (iOS or Android). This is the frontend.
Network: The internet (Wi-Fi or cellular data).
Web Server / Backend: One or more servers hosted remotely that handle business logic, data processing, and database interactions.
API (Application Programming Interface): The crucial communication layer between the mobile app and the backend web server.
The Role of the API:

Definition: An API defines a set of rules, protocols, and tools for building software applications. In this context, it specifically refers to a Web API that allows the mobile app to request information or actions from the backend server over the network (usually using HTTP/S).
How it Works:
The mobile app sends an HTTP request to a specific URL endpoint on the backend server (e.g., https://api.example.com/users/123).
The request includes details like the desired action (e.g., GET data, POST new data), authentication tokens, and any necessary data.
The backend server receives the request, processes it (e.g., retrieves user data from a database, creates a new post), and sends back an HTTP response.
The response typically contains a status code (e.g., 200 OK, 404 Not Found, 500 Server Error) and the requested data, often formatted in JSON (JavaScript Object Notation) or sometimes XML, because these formats are lightweight and easy for mobile apps to parse.
Examples:
Fetching a user's profile.
Posting a new message or photo.
Logging in or signing up.
Getting product listings for an e-commerce app.
Retrieving weather information.
Why this Model is Used:

Centralized Data & Logic: Keeps the core application logic and data secure and consistent on the server.
Scalability: Backend servers can be scaled independently of the mobile app to handle many users.
Security: Sensitive operations and data storage are handled on the server, not the easily accessible client device.
Platform Independence: The same API and backend can serve both iOS and Android apps (and potentially web applications).
Updates: Backend logic can be updated without requiring users to update their mobile app immediately.
In Summary:

Running a web server on a mobile device is possible but niche and limited.
The standard way mobile apps interact with server-side resources is by communicating with a remote web server (backend) through a Web API. The API acts as the contract defining how the mobile app (client) and the server exchange data and commands, typically using HTTP/S and JSON. This client-server architecture via APIs is fundamental to modern mobile app development."

Doc. Shhhhhhh🤫

Well. No mention of quantum or Ionq but they are pouring in billions into the U S economy!

Now! After commercial

Jose Munoz. C e o hyundai next. Turn on Fox News. Ionq could be mentioned🤞😎🫣

CEO of Hyundai coming up on Brett Baier Any minute. Turn on Fox News

thats for unexperienced unsophisticated investors

Based on available information as of April 25, 2025, here's the relationship between advanced computing and the Alcoa/Elysis process:

Supercomputing / High-Performance Computing (HPC): Highly Likely Used

Developing a fundamentally new industrial process like Elysis involves understanding and optimizing complex interactions including electrochemistry, materials science at high temperatures, fluid dynamics of molten salts, heat transfer, and overall cell design.
Classical supercomputing (HPC) is the standard tool used extensively in industry and research (including by companies like Alcoa and Rio Tinto) for simulating such complex physical and chemical processes.
It is therefore highly probable that sophisticated computational modeling and simulation running on supercomputers or large HPC clusters have been, and continue to be, crucial tools in the research, development, optimization, and scaling-up of the Elysis inert anode technology. This includes materials modeling, process simulation, and engineering design.
Quantum Computing: No Confirmed Use Currently, Potential Future Application

Quantum computing holds potential promise for areas relevant to Elysis, particularly in:
Materials Science: Simulating the electronic structure of the novel inert anode and cathode materials at a fundamental quantum level could help understand their properties, predict longevity, investigate degradation mechanisms, or even accelerate the discovery of entirely new, improved materials.
Chemical Simulation: Performing highly accurate simulations of the complex electrochemical reactions occurring at the electrode surfaces within the molten salt bath.
However, as of today, there is no specific public information or announcement from Alcoa, Rio Tinto, or Elysis indicating that quantum computing is currently being actively used in conjunction with the development or operation of the Elysis process itself.
Quantum computing applications for industrial materials science and complex process simulation are still largely in the research and exploratory phase. While companies involved in advanced materials (like those in the Toyota group mentioned previously) are exploring quantum computing, its direct application to a specific, near-commercialization process like Elysis has not been confirmed.
In Conclusion:

It is almost certain that conventional supercomputing (HPC) plays a significant role in the advanced modeling and simulation required to develop and optimize the Alcoa/Elysis process.

While quantum computing offers theoretical potential, especially for future breakthroughs in understanding or discovering the advanced materials involved, there is currently no evidence to suggest it is being used in conjunction with the ongoing Elysis development and commercialization efforts. Its application in this specific area remains a potential future possibility rather than a current reality.

Hyundai ceo being interviewed by Brett Baier on Fox 6:00 est. listening for any mention of quantum or Ionq 🤞we’ve been working with Hyundai for years.

majorana low temp super conductors
ionq room temp trapped ions.......hmm.

chat off line now?

tva...water power generation in tennesse valley authority...enough to power the quantum /gpu's? stable energy supply?
working on superconducting semiconductor? call american superconductor , inc as well?

supermicrocomputer, inc is getting big in tn......also working on XAI supercomputer for elon.

duh, elon /tesla/also potential nvidia chip plant with superconducting semiconductor? wags......

nvidia needs the quantum work output to ml on .....to help select the scale/decimal points needed to obtain reliable results of desired work parameters? at least until the quantum machines come fully into their own.....and us humans and non-quantum machines still need to communicate with the non-linear processes of quantum realm?

hardware circuit emulator used by nvidia to craft a generic msft graphics card. would it need to use networking, direct routing, and authentication to accomplish the jobs?

msft marjorana fermion quantum computer and new semiconductor/superconductor wire'pair' or ?coating....might it make power conversion loss less/etc? elon to devote more time to tesla they say. working on superconducting semi conductor?

nvidia with their circuit simulator providing more ai to speed up the work?

ub seems to have the ip to spray the gallium arsenide on to aluminum?

msft and ub? msft quantum fermion contraption?

edison? perfect for the how does it works , joking?

who was edison's competitor? tesla.

now, musk says he needs to work more on his tesla company....duh.......working on some new superconductor/semiconductor for power conversion or other application?

http://archive.fast-edgar.com/20250425/A32ZU22MZ222KTZ2222E2ZO83EH3ZK22CR72/#:~:text=SECURITIES%20AND%20EXCHANGE,a)%C2%A0%20(b)

Blackrock bought more. Always a good sign right before earnings. $$$$$! May 7

The Buffalo Manufacturing Works, operated by the Edison Welding Institute (EWI), is a hub for advanced manufacturing technologies, including various welding processes. Their expertise encompasses a range of welding techniques such as arc welding, laser processes, resistance welding, and solid-state processes .?
Alfred University
+1
EWI
+1
EWI

While Buffalo Manufacturing Works specializes in these welding technologies, there is no publicly available information indicating that they are currently engaged in research or development involving gallium arsenide (GaAs) or its integration with aluminum through welding processes.?

However, the University at Buffalo (UB) has been active in semiconductor research. In 1994, UB chemical engineers developed a novel reactor to enhance the chemical vapor deposition process for GaAs films, aiming to improve the scalability of GaAs chip production . More recently, UB launched the Center for Advanced Semiconductor Technologies in 2024 to bolster microelectronics research and support the semiconductor industry .?
College of Arts and Sciences
+2
University at Buffalo
+2
University at Buffalo
+2
College of Arts and Sciences

Regarding aluminum welding, Buffalo Manufacturing Works offers extensive capabilities in this area, including arc welding, laser processes, and resistance welding . These services are crucial for various industries but are not specifically linked to GaAs applications.?
EWI
+1
Alfred University
+1

If you are interested in the intersection of GaAs semiconductors and aluminum welding, it may be beneficial to explore collaborative opportunities between institutions like UB and facilities specializing in advanced welding techniques, such as Buffalo Manufacturing Works.

Jack. Yep.

this stock is so ready to rip up for good 
consecutive good news days 
hmmmmwhats next ?

Morons. Buy and hold. That's all the trading expertise needed for IonQ.

Who are the dumb asses selling on the news of a 22 mil $ contract to optimize Chattanooga electric grid? The first of many more to come. Idiots.

phew 
driving now ionq fornrhe win 

First quantum networking hub!

Yeeehaw!!! 22 mil deal $$$$$

What next? Whoa. P r

I’m not liking the steep dive right as trading stopped. Looks like someone knew something?

This is maddening🫣

Looks like we’re halted. Maybe a buyout offer lol🤞

Halted? Not moving. Stuck on 28.19 ? Every other stock in my watch list is trading. Anyone else seeing this?

ok wtf is going  om. now boy and gorls ??