View source for Northeastern University (20240378478). Compiler for Quantum Computing simplified abstract

=Compiler for Quantum Computing=


==Organization Name==

[[:Category:Northeastern University|Northeastern University]]


[[Category:Northeastern University]]

==Inventor(s)==

[[:Category:Tirthak Lalitbhai Patel of Boston MA (US)|Tirthak Lalitbhai Patel of Boston MA (US)]][[Category:Tirthak Lalitbhai Patel of Boston MA (US)]]

[[:Category:Devesh Tiwari of Boston MA (US)|Devesh Tiwari of Boston MA (US)]][[Category:Devesh Tiwari of Boston MA (US)]]

==Compiler for Quantum Computing - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240378478 titled 'Compiler for Quantum Computing

The abstract of this patent application describes a method for optimizing quantum circuits by determining sets of three-or-more-qubit blocks and adding them to the circuit based on the number of operations they contain.

* The method involves analyzing qubit gates within a qubit frontier of a quantum circuit.
* It identifies sets of three-or-more-qubit blocks and determines the number of operations within a subset of these blocks.
* The method prioritizes blocks with the highest number of operations and adds them to the circuit.
* It ensures that the selected blocks adhere to restriction zones and have the highest number of available operations.
* The qubit gates involved are one-or-two-qubit gates, and the method aims to enhance the efficiency of quantum circuits.

Potential Applications:
- Quantum computing optimization
- Circuit design in quantum technology
- Quantum algorithm development

Problems Solved:
- Enhancing the efficiency of quantum circuits
- Streamlining quantum computing processes
- Improving the performance of quantum algorithms

Benefits:
- Faster quantum computing operations
- Optimal use of qubit gates
- Enhanced quantum algorithm execution

Commercial Applications:
Title: Quantum Circuit Optimization Method for Enhanced Performance
This technology could be utilized in quantum computing research labs, quantum software development companies, and industries focusing on quantum algorithm optimization. It could lead to faster and more efficient quantum computing processes, potentially revolutionizing various sectors such as cryptography, drug discovery, and artificial intelligence.

Questions about Quantum Circuit Optimization:
1. How does this method improve the efficiency of quantum circuits?
- This method optimizes quantum circuits by selecting and adding blocks with the highest number of operations, leading to faster and more streamlined quantum computing processes.

2. What impact could this technology have on quantum algorithm development?
- By enhancing the performance of quantum circuits, this technology could significantly improve the execution of quantum algorithms, potentially unlocking new possibilities in various fields.


==Original Abstract Submitted==

in embodiments, a method includes the following operations. for each qubit gate of a quantum circuit within a qubit frontier of a circuit operation of qubit gates of the circuit, the method (a) determines a set of three-or-more-qubit blocks from the qubit frontier to an interior of the circuit, (b) determines a number of operations of a subset of blocks in the set of three-or-more-qubit blocks, (c) determines a family of blocks with a highest number of operations, (d) for each respective three-or-more-qubit block of the set, determines a block family with a highest number of available operations that starts with the respective three-or-more-qubit block and adheres to restriction zones of the blocks, and (e) adds a three-or-more-qubit block having a highest number of operations to a blocked circuit. each qubit gate is a one-or-two-qubit gate of fewer bits than a number of bits of the three-or-more-qubit blocks.



[[Category:G06N10/40]]
[[Category:CPC_G06N10/40]]