20240028943. COMPILATION OF HYBRID QUANTUM COMPUTING PROGRAMS simplified abstract (Xanadu Quantum Technologies Inc.)

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COMPILATION OF HYBRID QUANTUM COMPUTING PROGRAMS

Organization Name

Xanadu Quantum Technologies Inc.

Inventor(s)

Joshua Izaac of Toronto (CA)

Nathan Killoran of Toronto (CA)

David Ittah of Toronto (CA)

Samuel Banning of Toronto (CA)

COMPILATION OF HYBRID QUANTUM COMPUTING PROGRAMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240028943 titled 'COMPILATION OF HYBRID QUANTUM COMPUTING PROGRAMS

Simplified Explanation

The patent application describes a system, method, and computer program product for optimizing quantum computer programs using multi-level intermediate representations. Here is a simplified explanation of the abstract:

  • An intermediate representation of a high-level quantum program written in a high-level programming language is determined.
  • An optimized version of the intermediate representation is generated using optimization transformations.
  • The optimization transformations can be associated with an intermediate numerical representation or an intermediate quantum representation.
  • The optimized versions of the intermediate representations can be used to generate a compiled quantum program.
  • The compiled quantum program can be executed by quantum hardware and/or a quantum simulator.

Potential Applications:

  • Quantum computing: This technology can be applied in the field of quantum computing to optimize quantum computer programs, improving their efficiency and performance.
  • Quantum simulation: The optimized quantum programs can be used in quantum simulators to simulate the behavior of quantum systems, enabling researchers to study and analyze complex quantum phenomena.

Problems Solved:

  • Inefficient quantum programs: This technology addresses the problem of inefficient quantum programs by providing optimization transformations that improve the performance of quantum computer programs.
  • Resource utilization: By optimizing the quantum programs, this technology helps in better utilization of quantum hardware resources, reducing the computational overhead.

Benefits:

  • Improved performance: The optimized versions of the intermediate representations result in improved performance of quantum computer programs, allowing for faster execution and more efficient use of resources.
  • Enhanced simulation capabilities: The optimized quantum programs can be used in quantum simulators to accurately simulate quantum systems, enabling researchers to study and understand complex quantum phenomena.
  • Increased efficiency: By optimizing quantum programs, this technology helps in reducing the computational overhead and improving the overall efficiency of quantum computing systems.


Original Abstract Submitted

a system, method, and computer program product for optimizing quantum computer programs using multi-level intermediate representations are provided. an intermediate representation of a high-level quantum program defined in a high-level programming language can be determined. an optimized version of the intermediate representation can be generated according to optimization transformations. the optimization transformations can be associated with an intermediate numerical representation or an intermediate quantum representation. the optimized versions of the intermediate representations can then be used to generate a compiled quantum program that can be used for execution by quantum hardware and/or a quantum simulator.

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