Publication date
November 2020
DOIAbstract
Relaxed Peephole Optimization: A Novel Compiler Optimization for Quantum Circuits. Ji Liu, Luciano Bello, and Huiyang Zhou. International Symposium on Code Generation and Optimization (CGO), 2021
Relaxed Peephole Optimization: A Novel Compiler Optimization for Quantum Circuits. Ji Liu, Luciano Bello, and Huiyang Zhou. International Symposium on Code Generation and Optimization (CGO), 2021
There is no unique way to encode a quantum algorithm into a quantum circuit. With limited qubit coun...
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 20...
The quantum approximate optimization algorithm (QAOA) transforms a simple many-qubit wavefunction in...
In the last decade, public and industrial research funding has moved quantum computing from the earl...
A quantum computer consists of a set of quantum bits upon which operations called gates are applied ...
Quantum computing, while being a young technology, is facing a lot of problems and challenges relate...
Quantum computers are devices which allow the solution of problems unsolvable to their classical cou...
Quantum computing is an emerging technology that combines the principles of both computer science an...
Quantum computers promise to perform certain computations exponentially faster than any classical de...
Any quantum computing application, once encoded as a quantum circuit, must be compiled before being ...
In this proceedings we present quantum machine learning optimization experiments using stochastic gr...
Optimization problems are ubiquitous in but not limited to the sciences, engineering, and applied ma...
© 2020, The Author(s). A fundamental model of quantum computation is the programmable quantum gate a...
We present a collection of optimizers tuned for usage on Noisy Intermediate-Scale Quantum (NISQ) dev...
Function Optimization Based on Quantum Genetic Algorithm with Multivalued Quantum Logi
There is no unique way to encode a quantum algorithm into a quantum circuit. With limited qubit coun...
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 20...
The quantum approximate optimization algorithm (QAOA) transforms a simple many-qubit wavefunction in...
In the last decade, public and industrial research funding has moved quantum computing from the earl...
A quantum computer consists of a set of quantum bits upon which operations called gates are applied ...
Quantum computing, while being a young technology, is facing a lot of problems and challenges relate...
Quantum computers are devices which allow the solution of problems unsolvable to their classical cou...
Quantum computing is an emerging technology that combines the principles of both computer science an...
Quantum computers promise to perform certain computations exponentially faster than any classical de...
Any quantum computing application, once encoded as a quantum circuit, must be compiled before being ...
In this proceedings we present quantum machine learning optimization experiments using stochastic gr...
Optimization problems are ubiquitous in but not limited to the sciences, engineering, and applied ma...
© 2020, The Author(s). A fundamental model of quantum computation is the programmable quantum gate a...
We present a collection of optimizers tuned for usage on Noisy Intermediate-Scale Quantum (NISQ) dev...
Function Optimization Based on Quantum Genetic Algorithm with Multivalued Quantum Logi
There is no unique way to encode a quantum algorithm into a quantum circuit. With limited qubit coun...
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 20...
The quantum approximate optimization algorithm (QAOA) transforms a simple many-qubit wavefunction in...
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