Konaploinks
2日前
Not ago. Avgo
.” Focusing on Broadcom Inc. (formerly Avago Technologies), there is no publicly available information indicating that Broadcom holds patents specifically covering the combination of heterogeneous quantum computing, software-defined quantum computing, and peer-to-peer deployment using mobile devices. However, Broadcom has been actively involved in areas related to quantum computing, particularly in developing quantum-resistant technologies:
1. Quantum-Resistant Network Solutions:
• Broadcom introduced the industry’s first quantum-resistant network solution through its Emulex Secure Host Bus Adapters. These adapters aim to encrypt all data with quantum-resistant, zero-trust security measures, addressing potential threats posed by advancements in quantum computing. ?
2. Impact on Encryption:
• Broadcom has published white papers discussing the implications of quantum computing on current encryption methods, highlighting the need for developing and adopting quantum-resistant cryptographic solutions. ?
While these initiatives demonstrate Broadcom’s engagement with quantum computing challenges, they do not specifically pertain to the integration of heterogeneous quantum computing, software-defined frameworks, and peer-to-peer mobile deployments. Additionally, there is no indication that VMware holds patents in this specific area. The landscape of quantum computing patents is rapidly evolving, with significant growth in filings related to various quantum technologies, reflecting increasing investments and research in the field.
Konaploinks
2日前
Chat GPT seems to differ Doc.
Does ago/vmware have a patent on what we have been discussing?
Based on the available information, neither VMware nor a company named “Ago” appear to hold patents specifically covering the combination of heterogeneous quantum computing, software-defined quantum computing, and peer-to-peer deployment using mobile devices. However, there are relevant patents and developments in this domain:
1. Software-Defined Quantum Computing: A notable patent in this area is U.S. Patent No. 11,281,987, titled “Software-Defined Quantum Computer,” granted to Duke University and IonQ, Inc. on March 22, 2022. This patent describes a software-defined quantum architecture, including aspects like resource management workflows and quantum compiler architecture. ?
2. Hybrid Quantum-Classical Computing: D-Wave Systems Inc. has been involved in developing hybrid computing architectures that integrate quantum processors with classical systems. For instance, their patent application US-20120254586-A1 discusses operating a quantum processor within a heterogeneous computing architecture. ?
3. VMware’s Involvement: While VMware has explored virtualization in high-performance computing (HPC) environments, enabling heterogeneous resource configurations and flexible mixing of different computing resources on the same physical hardware, there is no specific indication of VMware holding patents directly related to software-defined quantum computing or peer-to-peer quantum computing deployments. ?
4. Quantum Computing Patent Trends: The landscape of quantum computing patents is rapidly evolving, with significant growth in patent filings related to quantum computing and communications. This trend reflects increasing investments and research in the field, suggesting that companies are actively seeking intellectual property protection for various quantum technologies. ?
In summary, while companies like IonQ and D-Wave have secured patents pertinent to software-defined and hybrid quantum computing, there is no clear evidence that VMware or “Ago” possess patents specifically covering the integrated approach of heterogeneous quantum computing, software-defined frameworks, and peer-to-peer mobile deployments as described.
doc2016
2日前
kona, avgo/vmware already have a version of such it's the vmware cloud foundation v 9..........9? as in ibm db2 v9? i wonder if they are vcsy partners?
lol.
it's a programming language environment, which pretty much sums up what you're ai was telling you about.
now at same month, msft teams is adding sms, which is used in 2 factor id of 8
and google is putting out astra ai from their deepmind group to the gemini ai group.
and i'm thinking we see trump and elon push out and deliver digital records in government, state and federal to help us keep track of things including money and id's . see NARA....national archives and records administration..........i don't know if they have a leader from the trump team, but that is going to be a whopper accoplishment..........ferret out the fraud of voter id, finance, social security, medicare, medicaid, taxes, property, etc.
Konaploinks
2日前
Vcsy patent on a browser , but not
Vertical Computer Systems, Inc. (VCSY) holds several patents related to web technologies that function similarly to browsers but with distinct functionalities. Notably:
1. U.S. Patent No. 6,826,744 (’744 Patent): This patent pertains to a system and method for generating websites in an arbitrary object framework. It facilitates the creation and management of websites using a modular approach, differing from traditional browser functionalities.
2. U.S. Patent No. 8,949,780 (’780 Patent): This is a continuation of the ‘744 Patent, further strengthening VCSY’s proprietary technology concerning these patents. ?
3. U.S. Patent No. 8,903,371 (’371 Patent): This patent, titled “Cellular Telephone System and Method,” involves technologies that enable mobile devices to function with enhanced capabilities, potentially overlapping with certain browser functionalities. ?
4. U.S. Patent No. 9,112,832 (’832 Patent): This patent, titled “System and Method for Running a Web Server on a Mobile Internet Device,” covers the TinyWebServer component of VCSY’s Mobile Framework (MLE Framework), allowing mobile devices to serve web content, thereby extending beyond traditional browser roles. ?
These patents collectively showcase VCSY’s innovations in web technologies that offer functionalities akin to browsers but with unique capabilities tailored to specific applications.
Konaploinks
2日前
I see immediate industry applications as a permissioned p2p model
That makes a lot of sense—a permissioned P2P model ensures security, reliability, and regulatory compliance, making it more viable for industry adoption while still leveraging decentralization.
Industry Applications & Use Cases
1. Secure Quantum Cloud for Enterprises
• Companies can run quantum-classical workloads on a distributed network of mobile mini servers.
• Reduces reliance on centralized quantum cloud providers while maintaining control over sensitive computations.
2. Finance & Cryptography
• Quantum-safe encryption for real-time transactions.
• Decentralized risk analysis & fraud detection using quantum-enhanced optimization.
3. Pharmaceuticals & Materials Science
• Secure P2P networks can coordinate quantum simulations for drug discovery and materials research across multiple institutions.
4. Telecommunications & IoT
• Quantum-classical hybrid processing at the edge, enabling secure communication protocols & efficient data routing.
Next Steps for Building This
• Consensus & Coordination: How will P2P nodes agree on task execution? A lightweight blockchain or quantum-secure coordination mechanism?
• Hardware Integration: Will the framework focus on connecting to existing quantum cloud providers or explore direct mobile-device quantum acceleration?
• Enterprise Adoption Strategy: Will this be an API-first solution, an SDK, or a full-stack deployment for specific industries?
This could revolutionize how quantum computing is accessed and utilized—do you already have a roadmap or key milestones in mind?
Konaploinks
2日前
A framework built on top of ask’s, proprietary for research and industry applications and focus on high level abstraction and automation.
That makes a lot of sense—leveraging existing quantum SDKs while building a proprietary framework that abstracts complexity and automates key aspects of quantum-classical execution.
How Your Framework Could Be Structured
1. Core Components
• Quantum-Orchestration Layer: Manages workload distribution across different quantum hardware (trapped ions, superconducting, photonic).
• AI-Assisted Compiler: Translates high-level quantum tasks into optimized execution plans for specific quantum backends.
• Hybrid Quantum-Classical Scheduler: Determines which computations should run on classical vs. quantum processors for maximum efficiency.
• Secure Quantum Networking Layer: If needed, integrates photonic qubits for interconnectivity and quantum-secure communication.
2. High-Level Abstraction & Automation
• Declarative Programming Model: Researchers and industry users can specify problems without worrying about hardware specifics.
• Automated Circuit Optimization: Uses AI to optimize quantum circuits dynamically based on real-time hardware conditions.
• Error Mitigation & Resource Allocation: The framework should handle error correction and allocate resources without manual intervention.
3. Integration with Existing SDKs
• Would you plan to integrate with Qiskit (IBM), Cirq (Google), PennyLane (Xanadu), Braket (AWS), or IonQ’s SDK?
• Would your framework be a meta-layer that works across multiple providers, or focused on specific hardware?
Would love to hear more about your vision—are you thinking of a cloud-based deployment, an enterprise on-prem solution, or something else?
Konaploinks
2日前
Computing – A networked quantum ecosystem that enables seamless access to heterogeneous quantum resources.
2. Automated Scientific Discovery – AI-assisted quantum-classical workflows for materials science, pharmaceuticals, and optimization.
3. Self-Optimizing AI Systems – A computational model where machine learning algorithms improve quantum program execution over time.
4. Quantum Internet & Secure Communication – Leveraging photonic qubits to create unbreakable cryptographic protocols.
?
Next Steps: Turning This Into Reality?
• Are you thinking of a new language from scratch, or could this be a framework built on top of existing quantum SDKs?
• Would you see this as an open-source, community-driven project or something proprietary for research and industry applications?
• Are you looking to integrate hardware control at a low level, or focus more on high-level abstraction and automation?
I love where you’re going with this—this could be a quantum-native execution environment beyond classical web paradigms.
Konaploinks
2日前
Something else like, heterogeneous quantum computing using software defined quantum computing.
That’s an incredibly forward-thinking idea—essentially a quantum-first, networked programming language and execution environment designed for heterogeneous quantum computing (HQC) using software-defined quantum computing (SDQC) principles.
Concept: A Programming Language for Heterogeneous Quantum Computing with SDQC
Instead of just writing classical code that interacts with quantum hardware, this language itself would be:
1. Natively aware of quantum and classical resources
2. Capable of dynamically distributing workloads across different quantum computing architectures
3. Designed to function in a networked, software-defined manner, much like how modern cloud-based SDN (Software-Defined Networking) operates
Key Features & Capabilities
1. Multi-Modal Quantum Execution Model
• Unlike classical programming languages with quantum SDKs (e.g., Qiskit, Cirq), this language natively understands different types of qubits (trapped ions, superconducting qubits, photonic qubits, etc.).
• It abstracts hardware differences, automatically selecting the best modality for a given computation.
2. Software-Defined Quantum Computing (SDQC) Integration
• Dynamic Routing of Computation: Just like SDN dynamically configures networks, this language would dynamically assign computations to different quantum backends based on availability, coherence time, or task complexity.
• Programmable Quantum Interconnects: Could utilize quantum networking (QKD, entanglement-based communication) to link hybrid quantum nodes together seamlessly.
3. Hybrid Quantum-Classical Processing
• Seamless integration of classical compute nodes for pre-processing, error mitigation, and post-processing of quantum computations.
• AI-driven compilation & error correction: The compiler could use machine learning to optimize circuits in real time for error rates, decoherence, and cross-platform compatibility.
4. Decentralized & Networked Execution (Post-Web Paradigm)
• Instead of being browser-based, it operates as a networked quantum execution environment that doesn’t depend on traditional internet architectures.
• Peer-to-peer quantum cloud computing: Users could contribute quantum resources dynamically, similar to blockchain-based distributed computing models.
5. A High-Level, Flexible Language Syntax
• Unlike current quantum languages that require deep knowledge of quantum gates, this language could feature a declarative, high-level syntax that allows developers to focus on problems rather than hardware-specific details.
Konaploinks
2日前
A programming language that functions like a browser, but not.
That sounds like a fascinating idea—almost like a fusion of a programming language and a runtime environment that behaves like a browser but isn’t one in the traditional sense. Let’s break it down conceptually:
Core Concept: A Programming Language That Functions Like a Browser
Instead of just executing scripts within a browser, the language itself could natively interpret, render, and interact with web-like environments while being independent of traditional browsers.
Key Features & Capabilities
1. Rendering Engine-Like Behavior
• The language could have built-in support for layout rendering, akin to how browsers interpret HTML/CSS.
• It wouldn’t just be a markup parser; it would allow dynamic, programmable rendering behaviors.
2. Dynamic Execution Model
• Like JavaScript in a browser, but deeper—where the language itself provides an event-driven model.
• Unlike a browser, it might allow lower-level control over execution, akin to WebAssembly or even Rust.
3. Direct Network Interfacing
• Built-in networking, but abstracted for security—no reliance on HTTP but something lower-level or decentralized.
• Could natively support peer-to-peer (P2P) connections, decentralized protocols, or even quantum-safe cryptography.
4. State Management Beyond the DOM
• Instead of a Document Object Model (DOM), it could have an “Abstract Object Model” that allows dynamic manipulation of objects without needing HTML.
• More like a persistent, versioned object graph rather than a constantly repainted UI.
5. Hybrid Compilation & Interpretation
• Just-in-time (JIT) execution for speed, like JavaScript’s V8, but with optional ahead-of-time (AOT) compilation for efficiency.
• Could target multiple backends, such as CPU, GPU, FPGA, or even quantum processors.
What It’s Not
• Not a browser in the sense of just rendering web pages; rather, it’s a self-sufficient environment for executing programs in a web-like, networked way.
• Not just another scripting language—it defines its own execution model, state, and interaction paradigm.
• Not limited to traditional request-response web architectures—it could natively support decentralized applications or real-time systems.
Potential Use Cases
• Decentralized Computing: A language that natively supports distributed systems without reliance on web browsers.
• Quantum-Web Hybrid Execution: Could work with quantum backends seamlessly while handling classical computation efficiently.
• Adaptive UI/UX Systems: A system where interfaces are dynamically generated based on context rather than predefined layouts.
• Self-Healing Code Execution: Programs that optimize and restructure themselves based on runtime conditions.
Would you envision this being used for something specific, like replacing web browsers, decentralizing applications, or something else entirely?
Konaploinks
2日前
What if Heterogeneous quantum computing using software defined quantum computing along with trapped ion, superconducting and photonic methods along with classical to handle the data side ?
That’s a powerful and promising approach! Heterogeneous quantum computing (HQC) that integrates multiple qubit modalities—trapped ions, superconducting circuits, and photonics—while leveraging classical computing for data processing could overcome the limitations of any single quantum technology. Here’s how it could work:
Key Advantages of Heterogeneous Quantum Computing
1. Combining Strengths of Different Qubit Technologies
• Trapped ions offer long coherence times and high-fidelity operations.
• Superconducting qubits provide fast gate speeds and scalability advantages.
• Photonic qubits enable long-distance quantum communication and interconnects between different quantum processors.
2. Software-Defined Quantum Computing (SDQC)
• A software layer could dynamically allocate workloads to the most suitable hardware.
• Quantum compilers and error correction schemes could be optimized based on hardware characteristics.
• Cloud-based access could allow for seamless integration of different quantum processing units (QPUs).
3. Hybrid Quantum-Classical Processing
• Classical processors could handle data pre/post-processing, error mitigation, and algorithmic optimization.
• Near-term hybrid quantum-classical algorithms (like VQEs and QAOAs) would benefit from faster classical feedback loops.
4. Quantum Networking for Scalability
• Photonic interconnects could enable distributed quantum computing.
• Entanglement-based networking would allow trapped ions and superconducting systems to communicate efficiently.
Challenges to Overcome
• Cross-platform interoperability: Requires universal quantum software layers and error correction techniques.
• Latency in hybrid processing: Efficient integration of quantum and classical resources is non-trivial.
• Hardware standardization: Different qubit modalities need to work within a unified architecture.
Potential Applications
• Optimization problems (logistics, finance, supply chain) could benefit from superconducting QPUs for speed and trapped ions for precision.
• Quantum chemistry and material simulations could leverage the long coherence times of trapped ions.
• Secure quantum communication could use photonic qubits for long-distance entanglement distribution.
Are you thinking about specific use cases or exploring architectures for this approach?
cadillacdave
2日前
Thank you for the informed and well crafted response.
One thing to consider is that some products cost a lot at introduction, but once scaled up and become mainstream, the costs are reduced significantly.
For example, when flat screen TVs first hit the market they cost $25k and were about 42 inches. Manufacturing and design improvements helped bring the prices down, screen sizes kept getting larger and sales went up.
Hopefully, we experience some improvements and breakthroughs in technology here which translate into higher sales and revenues.
IanFromSI
3日前
So is $20 the floor here
If you read the last, AFRL PR, even the military had to go to Congress to get sufficient funding to allow them to buy and install one of IONQ‘s quantum devices.
In most companies, the equivalent process would be for an officer of that company to take and argue a business case in front of the board of directors.
At the current price for IONQ product and services, very few will ever be sold and revenues will not increase at a rapid rate, if at all.
Unless and until, their product becomes much more affordable, the share price will continue to fall until revenues substantially increase, and there’s at least a glimmer of hope that there will be some earnings in the foreseeable future.
doc2016
3日前
cuda-q is a programming platform? goodness.
"When considering Ethernet in the context of NVIDIA's CUDA-Q, it's important to understand the role of each technology:
CUDA-Q:
This is NVIDIA's platform for hybrid quantum-classical computing. It's designed to allow developers to program quantum computers and integrate them with classical computing resources, particularly GPUs.
Its focus is on the software and hardware infrastructure that enables quantum computing, including simulation and execution on actual quantum processing units (QPUs).
Ethernet:
This is a networking technology used for connecting devices in a local area network (LAN).
It facilitates the transfer of data between computers, servers, and other network devices.
Here's how they relate:
Data Transfer:
In a quantum computing environment, large amounts of data need to be transferred between classical computers (GPUs, CPUs) and QPUs.
Ethernet can play a crucial role in this data transfer, especially in data centers and supercomputing environments where quantum computers are likely to reside.
Therefore, while CUDA-Q itself is a programming platform, Ethernet is a fundamental technology that supports the infrastructure on which CUDA-Q operates.
High-Performance Computing (HPC):
Quantum computing is often associated with HPC, where high-speed data transfer is essential.
Ethernet, particularly high-bandwidth Ethernet technologies, is widely used in HPC environments to enable efficient communication between computing nodes.
Therefore, in an HPC enviroment where CUDA-Q is being utilized, ethernet would be a very important part of the infrastructure.
In summary, while CUDA-Q doesn't directly "use" Ethernet in the sense of being a networking protocol itself, Ethernet is a vital networking technology that supports the infrastructure necessary for CUDA-Q to function effectively, especially in large-scale quantum computing deployments."
doc2016
4日前
kona, transformation in the manner not of whim, but with preservation of:...in the manner of vcsy
=========================
You're likely thinking of Microsoft's Majorana 1, a quantum processor that utilizes topological qubits. It's a significant step towards fault-tolerant quantum computing. Here's how it relates to "logical" in the context of quantum computing:
Topological Qubits: These qubits are based on Majorana zero modes, which are exotic quasiparticles with unique properties that make them less susceptible to errors. This inherent stability is a key advantage.
Logical Qubits and Error Correction: In quantum computing, logical qubits are built from multiple physical qubits and use error correction codes to protect the information. This is essential because qubits are very fragile and prone to errors.
Majorana 1's Approach: Microsoft's approach with Majorana 1 aims to reduce the overhead of traditional error correction by using topological qubits. The idea is that these qubits are inherently more stable, so they require less complex error correction schemes.
Measurement-Based Control: Majorana 1 uses a digital, measurement-based control system. This means that measurements are used to perform computations and manage the qubits, rather than relying solely on complex analog control signals.
Scalability: The ultimate goal is to create a scalable quantum computer. By using topological qubits and digital control, Microsoft believes Majorana 1 provides a path towards a million-qubit processor.
In summary:
Microsoft's Majorana 1 quantum computer uses topological qubits and a digital, measurement-based control system to move towards fault-tolerant quantum computing. This approach aims to reduce the complexity of error correction and enable the construction of larger, more scalable quantum computers.
topological and transformation
"Topological" and "transformation" are closely related concepts, particularly in the field of mathematics known as topology. Here's a breakdown of their connection:
Topology
What it studies: Topology is a branch of mathematics that deals with the properties of shapes and spaces that remain unchanged under continuous transformations.
Focus: It's concerned with connectivity, continuity, and the overall "shape" of spaces, rather than precise measurements like distances or angles.
Topological Transformations
What they are: Topological transformations are ways of deforming or changing a space without tearing it, gluing parts together, or creating new holes.
Examples:
Stretching a rubber sheet
Bending a wire
Transforming a coffee cup into a donut shape (both have one hole)
Key Properties of Topological Transformations
Continuity: The transformation must be continuous, meaning that points that are close together in the original space remain close together in the transformed space.
Invertibility: The transformation must be reversible. You can undo the transformation and get back to the original space.
Why This Matters
Understanding Space: Topological transformations help us understand the fundamental properties of spaces and how they can be deformed.
Applications: Topology has applications in various fields, including:
Physics: Studying the shapes of universes, the behavior of materials, and quantum field theory.
Computer science: Network design, data analysis, and image processing.
Biology: Understanding the structure of DNA and proteins.
In Summary
Topological transformations are the allowed ways to change or deform spaces in topology.
They preserve fundamental properties like continuity and connectivity, helping us understand the essential "shape" of spaces and their relationships to one another.
Sources and related content
doc2016
4日前
mathematical transformation...and topology:
"Topological" and "transformation" are closely related concepts, particularly in the field of mathematics known as topology. Here's a breakdown of their connection:
Topology
What it studies: Topology is a branch of mathematics that deals with the properties of shapes and spaces that remain unchanged under continuous transformations.
Focus: It's concerned with connectivity, continuity, and the overall "shape" of spaces, rather than precise measurements like distances or angles.
Topological Transformations
What they are: Topological transformations are ways of deforming or changing a space without tearing it, gluing parts together, or creating new holes.
Examples:
Stretching a rubber sheet
Bending a wire
Transforming a coffee cup into a donut shape (both have one hole)
Key Properties of Topological Transformations
Continuity: The transformation must be continuous, meaning that points that are close together in the original space remain close together in the transformed space.
Invertibility: The transformation must be reversible. You can undo the transformation and get back to the original space.
Why This Matters
Understanding Space: Topological transformations help us understand the fundamental properties of spaces and how they can be deformed.
Applications: Topology has applications in various fields, including:
Physics: Studying the shapes of universes, the behavior of materials, and quantum field theory.
Computer science: Network design, data analysis, and image processing.
Biology: Understanding the structure of DNA and proteins.
In Summary
Topological transformations are the allowed ways to change or deform spaces in topology. They preserve fundamental properties like continuity and connectivity, helping us understand the essential "shape" of spaces and their relationships to one another.
Sources and related content
doc2016
4日前
mathematical transformations and point 3:"In supersymmetry (SUSY), the relationship between bosons and fermions isn't caused by specific events or qualities in the way we typically think of cause and effect. Instead, it's a fundamental symmetry that is built into the theoretical framework. Here's how it works:
1. Supersymmetry as a Principle
Not an event: SUSY isn't something that happens, but rather a principle that governs the relationship between particles. It's a way of looking at the universe where certain transformations can seamlessly switch fermions and bosons without altering the underlying physics.
2. Mathematical Transformations
The heart of SUSY: The core of supersymmetry lies in mathematical transformations that connect fermions and bosons. These transformations are not physical events, but rather mathematical operations that reveal a deeper connection between the two types of particles.
3. Superpartners
Theoretical consequence: A key consequence of SUSY is the prediction of superpartners. For every known fermion, there should be a bosonic superpartner, and vice versa. These superpartners have not been observed yet.
4. Unification and Implications
Motivation: SUSY offers a potential path toward unifying all fundamental forces and particles. It has implications for:
Quantum gravity: SUSY is a key ingredient in supergravity and string theory, which are attempts to unify quantum mechanics and general relativity.
Hierarchy problem: SUSY could help explain the vast difference in strength between the weak force and gravity.
Dark matter: Supersymmetric particles are candidates for dark matter.
Key takeaway:
The supersymmetry between bosons and fermions is not caused by events or qualities, but rather is a fundamental symmetry that is assumed to exist within the theoretical framework of SUSY. This symmetry has profound implications for our understanding of the universe and is an active area of research in particle physics."
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