Microsoft technology licensing, llc (20240119108). EVALUATING QUANTUM COMPUTING CIRCUITS IN VIEW OF THE RESOURCE COSTS OF A QUANTUM ALGORITHM simplified abstract
Contents
- 1 EVALUATING QUANTUM COMPUTING CIRCUITS IN VIEW OF THE RESOURCE COSTS OF A QUANTUM ALGORITHM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 EVALUATING QUANTUM COMPUTING CIRCUITS IN VIEW OF THE RESOURCE COSTS OF A QUANTUM ALGORITHM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
EVALUATING QUANTUM COMPUTING CIRCUITS IN VIEW OF THE RESOURCE COSTS OF A QUANTUM ALGORITHM
Organization Name
microsoft technology licensing, llc
Inventor(s)
Martin H. Roetteler of Woodinville WA (US)
Krysta M. Svore of Seattle WA (US)
EVALUATING QUANTUM COMPUTING CIRCUITS IN VIEW OF THE RESOURCE COSTS OF A QUANTUM ALGORITHM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240119108 titled 'EVALUATING QUANTUM COMPUTING CIRCUITS IN VIEW OF THE RESOURCE COSTS OF A QUANTUM ALGORITHM
Simplified Explanation
The abstract describes a method for evaluating quantum computing circuits in terms of resource costs for a quantum algorithm. It involves determining polynomial interpolation for sub-intervals of an input and constructing a quantum circuit to evaluate the polynomial in parallel for each sub-interval.
- Quantum computing circuit evaluation method:
- Determine polynomial interpolation for sub-intervals of an input. - Construct a quantum circuit to evaluate the polynomial in parallel for each sub-interval.
Potential Applications
The technology could be applied in: - Quantum algorithm optimization. - Quantum machine learning. - Quantum cryptography.
Problems Solved
This technology addresses: - Efficient evaluation of polynomials on quantum computers. - Resource optimization in quantum algorithms.
Benefits
The benefits of this technology include: - Faster computation of polynomial evaluations. - Reduced resource usage in quantum computing. - Improved performance of quantum algorithms.
Potential Commercial Applications
The technology could be commercially applied in: - Quantum computing software development. - Quantum cloud computing services. - Quantum hardware optimization solutions.
Possible Prior Art
One possible prior art could be related to: - Previous methods for polynomial evaluation on classical computers. - Research on quantum circuit optimization techniques.
Unanswered Questions
How does this method compare to traditional polynomial evaluation techniques on classical computers?
This method allows for parallel evaluation of polynomials on quantum circuits, potentially offering significant speedup compared to classical methods.
What impact could this technology have on the field of quantum computing in the long term?
This technology could lead to advancements in quantum algorithm design and resource optimization, potentially unlocking new capabilities in quantum computing.
Original Abstract Submitted
methods for evaluating quantum computing circuits in view of the resource costs of a quantum algorithm are described. a processor-implemented method for performing an evaluation of a polynomial corresponding to an input is provided. the method includes determining a polynomial interpolation for a set of sub-intervals corresponding to the input. the method further includes constructing a quantum circuit for performing, in parallel, polynomial evaluation corresponding to each of the set of sub-intervals.
