20240020566. ON-CHIP QUANTUM COMPUTERS BASED ON CLASSICAL SYNTHESIZABLE DIGITAL CIRCUITS simplified abstract (Eonum Inc.)

ON-CHIP QUANTUM COMPUTERS BASED ON CLASSICAL SYNTHESIZABLE DIGITAL CIRCUITS

Organization Name

Eonum Inc.

Inventor(s)

Olga Vlasova of Irvine CA (US)

ON-CHIP QUANTUM COMPUTERS BASED ON CLASSICAL SYNTHESIZABLE DIGITAL CIRCUITS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240020566 titled 'ON-CHIP QUANTUM COMPUTERS BASED ON CLASSICAL SYNTHESIZABLE DIGITAL CIRCUITS

Simplified Explanation

The quantum computation principle is based on the phenomenon of superposition of states exhibited in specialized cells called quantum bits or qubits. Quantum computation potentially allows calculating multiple variants of the states (quasi) simultaneously. It is the major advantage of quantum computers over classical sequential processors where bits can take only a finite number of states and where algorithms are executed step by step, instruction by instruction from a program stored in a memory. It is fair to say that quantum computers are needed for a specific niche of tasks where classical computers are ineffective, e.g., exponentially growing algorithms.

• The patent/application is related to quantum computation.
• The innovation involves utilizing the phenomenon of superposition of states in specialized cells called qubits.
• Quantum computation allows for the calculation of multiple variants of states simultaneously.
• Quantum computers have an advantage over classical sequential processors in terms of their ability to handle exponentially growing algorithms.
• The patent/application aims to address the specific niche of tasks where classical computers are ineffective.

Potential Applications

Quantum computation technology has the potential to be applied in various fields, including:

• Cryptography: Quantum computers could potentially break current encryption algorithms and lead to the development of more secure cryptographic systems.
• Optimization: Quantum algorithms have the potential to solve complex optimization problems more efficiently, such as route optimization or resource allocation.
• Drug Discovery: Quantum computers could assist in simulating and analyzing complex molecular interactions, aiding in the discovery of new drugs and treatments.
• Machine Learning: Quantum algorithms could enhance machine learning techniques, enabling faster and more accurate pattern recognition and data analysis.

Problems Solved

The technology addresses the following problems:

• Inefficiency of classical computers in handling exponentially growing algorithms.
• Limitations of classical sequential processors in executing step-by-step instructions.
• Challenges in solving complex optimization problems efficiently.
• Difficulties in simulating and analyzing complex molecular interactions.

Benefits

The technology offers the following benefits:

• Increased computational power and speed compared to classical computers.
• Ability to perform calculations on multiple variants of states simultaneously.
• Potential for breakthroughs in cryptography, optimization, drug discovery, and machine learning.
• Improved efficiency in solving complex problems and analyzing large datasets.

Original Abstract Submitted

the quantum computation principle is based on the phenomenon of superposition of states exhibited in specialized cells called quantum bits or qubits. quantum computation potentially allows calculating multiple variants of the states (quasi) simultaneously. it is the major advantage of quantum computers over classical sequential processors where bits can take only a finite number of states and where algorithms are executed step by step, instruction by instruction from a program stored in a memory. it is fair to say that quantum computers are needed for a specific niche of tasks where classical computers are ineffective, e.g., exponentially growing algorithms.