2021
DOI: 10.48550/arxiv.2102.12617
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Quantum circuits for exact unitary $t$-designs and applications to higher-order randomized benchmarking

Yoshifumi Nakata,
Da Zhao,
Takayuki Okuda
et al.

Abstract: A unitary t-design is a powerful tool in quantum information science and fundamental physics. Despite its usefulness, only approximate implementations were known for general t. In this paper, we provide for the first time quantum circuits that generate exact unitary t-designs for any t on an arbitrary number of qubits. Our construction is inductive and is of practical use in small systems. We then introduce a t-th order generalization of randomized benchmarking (t-RB) as an application of exact 2t-designs. We … Show more

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Cited by 4 publications
(5 citation statements)
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References 83 publications
(158 reference statements)
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“…The appearance of quantum state-designs in a physical system has also quantum information science applications, in particular for tasks like state-tomography, benchmarking, or cryptography, which employ ensembles of random unitaries or states [16][17][18][19][20][21][22][23][24][25][26][27][28][29]38]. For example, by applying random unitaries, projectively measuring, and processing the classical data, one can in certain cases reconstruct an approximate description of a system's state in a protocol called classical shadow tomography [26].…”
Section: Theoremmentioning
confidence: 99%
See 1 more Smart Citation
“…The appearance of quantum state-designs in a physical system has also quantum information science applications, in particular for tasks like state-tomography, benchmarking, or cryptography, which employ ensembles of random unitaries or states [16][17][18][19][20][21][22][23][24][25][26][27][28][29]38]. For example, by applying random unitaries, projectively measuring, and processing the classical data, one can in certain cases reconstruct an approximate description of a system's state in a protocol called classical shadow tomography [26].…”
Section: Theoremmentioning
confidence: 99%
“…of the distribution of projected states over H A . We note that understanding statistical properties of ensembles of quantum states or unitaries (specifically quantifying the degree of randomness) forms the basis of many applications in quantum information science such as cryptography, tomography, or machine learning, as well as sampling-based computational-advantage tests for near-term quantum devices [16][17][18][19][20][21][22][23][24][25][26][27][28][29]. Eq.…”
mentioning
confidence: 99%
“…We constructed basic software for asynchronous control of such devices and automatic and fast calibration of a large number of qubits. We also proposed efficient methods for characterization and Flexible and high-performance measurement systems calibration using machine learning and quantum randomness [2,3]. The second topic is the design of peripheral circuits that execute the operations and feedback required for quantum error correction.…”
Section: Research and Development For Fault-tolerant Quantum Computingmentioning
confidence: 99%
“…Recent work has sought to deepen the core benchmarking toolkit, for example by considering higherorder moment analysis [21], character benchmarking techniques [22], the extension to benchmarking of logical qubits [23] and analogue regimes [24]. In this work we first consider general structural questions on quantum channels, and then address their relationship to benchmarking scenarios.…”
Section: Introductionmentioning
confidence: 99%