2021
DOI: 10.1103/prxquantum.2.030339
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Quantum Circuits for Exact Unitary t -Designs and Applications to Higher-Order Randomized Benchmarking

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Cited by 28 publications
(20 citation statements)
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“…Very efficient random circuit constructions for exact n -qubit 2-designs, where the resources required scale almost linearly with n , have also been devised 13 . More recently, random circuit constructions for general exact n -qubit t -designs were proposed 14 . However, they are only feasible for small systems, since the number of gates required scales exponentially with n and t for large n .…”
Section: Introductionmentioning
confidence: 99%
“…Very efficient random circuit constructions for exact n -qubit 2-designs, where the resources required scale almost linearly with n , have also been devised 13 . More recently, random circuit constructions for general exact n -qubit t -designs were proposed 14 . However, they are only feasible for small systems, since the number of gates required scales exponentially with n and t for large n .…”
Section: Introductionmentioning
confidence: 99%
“…For quantum states, the other very common similarity measure is quantum fidelity, which induces distance between states known as Bures distance [23,24]. When one wants to compare unitary channel (quantum gate) with a general channel (noisy implementation of a gate), the relevant notions are worst-case [2] and average-case gate fidelity [25][26][27][28][29]. In both cases, the relevant optimization/averaging is over all quantum states, and the fidelity is a standard state For distance measures between measurements, one of the natural choices is to treat measurement as a quantum-classical channel and compute diamond norm distance [18,30].…”
Section: Related Workmentioning
confidence: 99%
“…First important question one can ask is how to estimate average-case quantum distances in easy-to-implement setting. Natural candidate seems to be randomized-benchmarking types of experiments, as they also employ unitary designs [29,41]. It would be also very interesting to connect quantum average-case distances with commonly used figures of merit used to assess quality of quantum devices.…”
Section: Open Problemsmentioning
confidence: 99%
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“…The act of randomisation by the Haar-measure of the m-qubit unitary group is an important operation in quantum computation and information. It has found applications in, for instance, randomized benchmarking [1][2][3][4][5][6][7][8][9][10][11]50], quantum control, quantum data hiding [12], and channel twirling [50], to name a few. Besides practical applications, it plays a significant role in decoupling theorems, which is of immense significance in quantum information theory.…”
Section: Introductionmentioning
confidence: 99%