Quantum state matching for testing and benchmarking noisy intermediate scale quantum (NISQ) computers is the topic of the first section in this chapter. The section employs topological and, in particular, metric
Since we are still in the noisy intermediate-scale quantum (NISQ) era, current quantum simulators are heavily affected by noise; hence, any characterization technique needs to be robust for these simulators to be useful. For qubit systems, robust shadow estimation was developed29,30 where Chen et...
As a result, both the observables and their fluctuations evaluated from the noisy quantum computer’s error-mitigated output display thermal behavior with positive or negative absolute temperatures. Being implemented on noisy intermediate-scale quantum (NISQ) hardware, our approach allows probing thermal...
Intermediate-Scale: 中小规模。现有的量子计算机只能实现至多一百以内的量子比特数。比如谷歌提出的72qubit...
中型(intermediat—scale)指量子计算机的qbit个数大概在50 到几百这个范围 嘈杂(noisy)指所能操作的量子...
Since we are still in the noisy intermediate-scale quantum (NISQ) era, current quantum simulators are heavily affected by noise; hence, any characterization technique needs to be robust for these simulators to be useful. For qubit systems, robust shadow estimation was developed29,30where Chen et...
Cirq provides useful abstractions for dealing with today’s noisy intermediate-scale quantum (NISQ) computers, where the details of quantum hardware are vital to achieving state-of-the-art results. Some of its features include:Flexible gate definitions and custom gates Parameterized circuits with ...
Due to the non-idealities present in these systems, they are typically referred to as NISQ (noisy intermediate-scale quantum). Largely, the motivation for this development has been rooted in quantum information pro- cessing, where efficient and precise measurements and state manipulation is ...
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A Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits. - quantumlib/Cirq