# How to Build a Room-Temperature Quantum-Like Computer with Regular Electronics

> This patent describes an integrated circuit and method for performing 'quantum analog computing' at room temperature using conventional electronic components like resistors, inductors, capacitors, and switches, arranged in a specific network.

- **Patent:** US 20230229951
- **Original title:** Quantum analog computing at room temperature using conventional electronic circuitry
- **Owner:** Technologies Infinityq
- **Status:** Active
- **Times cited:** 1
- **Field:** semiconductors, consumer_electronics, software, ai_ml

## What it does

This integrated circuit performs 'quantum analog computing' by using a network of interconnected 'qubits' (Claim 1). Each qubit is built from standard electronic parts: resistors, inductors, capacitors, and a switch (Claim 1). These qubits are connected in a specific pattern, like a Hopfield network, where each qubit can connect to all others (Claim 2, 3). The circuit is designed to operate at normal room temperatures, between 0 and 30 degrees Celsius (Claim 6, 7). To compute, an initial voltage is set for each qubit (Claim 9), and the system then settles into a stable state. The final voltages on the qubits are measured to determine the solution to a problem (Claim 10). For example, this could be used to find the best solution in a complex optimization problem.

## What it does NOT cover

- Does not cover 'true' quantum computers that rely on quantum mechanical phenomena like superposition and entanglement for computation.
- Does not cover quantum computing systems that require extremely cold (cryogenic) temperatures to operate.
- Does not cover qubits that are specifically designed for error correction, as the claims state no qubit is used for this purpose (Claim 18).
- Does not cover integrated circuits where individual qubits are not composed of resistors, inductors, capacitors, and a switch.
- Does not cover connectivity topologies that are not 'all-to-all' or a Hopfield network, as these are specified in the claims (Claim 3, 11, 13).

## The clever bit

The clever part is creating an 'analog of quantum behavior' using common electronic components (resistors, inductors, capacitors, switches) and operating them at room temperature. This avoids the extreme environmental and hardware challenges of true quantum computers, making quantum-inspired computation potentially much more practical.

## Real-world examples

1. Specialized integrated circuits for solving optimization problems
2. Hardware accelerators for machine learning algorithms
3. Simulations for drug discovery and materials science
4. Energy grid optimization systems

## Why it matters

This patent aims to make quantum-like computing more accessible. Traditional quantum computers require incredibly cold temperatures and specialized hardware, making them expensive and complex. By using conventional electronics like CMOS and operating at room temperature, this technology could significantly lower the cost and complexity of building systems that can tackle problems currently suited for quantum computers. This could open up new possibilities for solving complex optimization challenges in various industries.

## Frequently asked questions

### What does How to Build a Room-Temperature Quantum-Like Computer with Regular Electronics cover?

This patent describes an integrated circuit and method for performing 'quantum analog computing' at room temperature using conventional electronic components like resistors, inductors, capacitors, and switches, arranged in a specific network.

### Who owns patent US 20230229951?

This patent is owned by Technologies Infinityq.

### When does this patent expire?

This patent is expected to expire on May 28, 2041, when the invention enters the public domain.

### What is patent US 20230229951 cited by?

This patent has been cited by 1 later patents that build on its ideas.

### What problem does this patent solve?

This patent aims to make quantum-like computing more accessible. Traditional quantum computers require incredibly cold temperatures and specialized hardware, making them expensive and complex. By using conventional electronics like CMOS and operating at room temperature, this technology could significantly lower the cost and complexity of building systems that can tackle problems currently suited for quantum computers. This could open up new possibilities for solving complex optimization challenges in various industries.

### What does this patent NOT cover?

Does not cover 'true' quantum computers that rely on quantum mechanical phenomena like superposition and entanglement for computation.

**Full plain-English explainer:** https://patentbrief.org/patent/us/20230229951/quantum-analog-computing-at-room-temperature-using-conventional-electronic-circu

**Original patent:** https://patents.google.com/patent/US20230229951

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_Source: PatentBrief — https://patentbrief.org. Patent facts are from public records; the plain-English explanation is PatentBrief's._


## Related patents

Semantically similar inventions in the PatentBrief corpus:

- [How Hopfield Networks Use Resistors to Mimic Brain-Like Memory](https://patentbrief.org/patent/us/4660166/electronic-network-for-collective-decision-based-on-large-number-of-connections-between-signals) — A foundational patent describing an electronic circuit that uses a grid of resistors to perform computations, effectively creating an artificial neural network that can store and recall patterns.
- [Solving Big Math Problems with Small Quantum Computers](https://patentbrief.org/patent/us/12008436/machine-learning-mapping-for-quantum-processing-units) — This patent describes how a classical computer can break down large mathematical problems into smaller pieces that even limited quantum computers can solve, then combine the results.
- [How a Single Electronic Component Can Learn and Process AI Data](https://patentbrief.org/patent/us/10248907/resistive-processing-unit) — This patent describes a tiny electronic component called a resistive processing unit (RPU) that acts like a brain cell in an artificial intelligence network, storing and processing information directly within its changing electrical resistance.
- [How D-Wave Clears Magnetic Noise in Quantum Computers](https://patentbrief.org/patent/us/11295225/superconducting-quantum-processor-and-method-of-operating-same) — A method for improving quantum computer accuracy by actively clearing out magnetic interference that builds up during calculations.
- [How to Connect Quantum Computer Bits with a Superconducting Circuit](https://patentbrief.org/patent/us/20080238531/systems-devices-and-methods-for-controllably-coupling-qubits) — This patent describes a superconducting circuit called an rf-SQUID that can precisely turn on, turn off, or change the way two quantum computer bits (qubits) interact with each other.
