Benchmark results for sampling random quantum channels in QuantumInformation.jl and Python.</p
Quantum computers promise to be a revolutionary new technology. However, in order to realise this pr...
This is supplemental data and code for: T. Proctor et al., Scalable randomized benchmarking of quant...
10.1007/978-3-642-32009-5_45Lecture Notes in Computer Science (including subseries Lecture Notes in ...
Benchmark results for sampling random pure states in QuantumInformation.jl and Python.</p
Benchmark results for sampling random mixed state in QuantumInformation.jl and Python.</p
Benchmark results for sampling random unitary matrices in QuantumInformation.jl and Python.</p
Benchmark results for calculating the entropy of a stationary state of a random quantum channel in Q...
Benchmark results for calculating the trace distance between two random mixed states in QuantumInfor...
Benchmark results for calculating the trace distance between a random mixed state and the maximally ...
Randomized benchmarking is an experimental procedure intended to demonstrate control of quantum syst...
Random quantum sampling, a task to sample bit-strings from a random quantum circuit, is considered o...
Producing useful quantum information devices requires efficiently assessing control of quantum syste...
Randomized benchmarking (RB) is an efficient and robust method to characterize gate errors in quantu...
We have developed a software platform, ABAQUS (Automated Benchmarking of Algorithms for Quantum Syst...
QuantumInformation v0.4.7 Diff since v0.4.6 Closed issues: Add implementation of random POVMs (#49)...
Quantum computers promise to be a revolutionary new technology. However, in order to realise this pr...
This is supplemental data and code for: T. Proctor et al., Scalable randomized benchmarking of quant...
10.1007/978-3-642-32009-5_45Lecture Notes in Computer Science (including subseries Lecture Notes in ...
Benchmark results for sampling random pure states in QuantumInformation.jl and Python.</p
Benchmark results for sampling random mixed state in QuantumInformation.jl and Python.</p
Benchmark results for sampling random unitary matrices in QuantumInformation.jl and Python.</p
Benchmark results for calculating the entropy of a stationary state of a random quantum channel in Q...
Benchmark results for calculating the trace distance between two random mixed states in QuantumInfor...
Benchmark results for calculating the trace distance between a random mixed state and the maximally ...
Randomized benchmarking is an experimental procedure intended to demonstrate control of quantum syst...
Random quantum sampling, a task to sample bit-strings from a random quantum circuit, is considered o...
Producing useful quantum information devices requires efficiently assessing control of quantum syste...
Randomized benchmarking (RB) is an efficient and robust method to characterize gate errors in quantu...
We have developed a software platform, ABAQUS (Automated Benchmarking of Algorithms for Quantum Syst...
QuantumInformation v0.4.7 Diff since v0.4.6 Closed issues: Add implementation of random POVMs (#49)...
Quantum computers promise to be a revolutionary new technology. However, in order to realise this pr...
This is supplemental data and code for: T. Proctor et al., Scalable randomized benchmarking of quant...
10.1007/978-3-642-32009-5_45Lecture Notes in Computer Science (including subseries Lecture Notes in ...
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