Faster and More Reliable Quantum SWAPs via Native Gates

Gokhale, Pranav; Tomesh, Teague; Suchara, Martin; Chong, Frederic T.

doi:10.48550/arxiv.2109.13199

Cited by 5 publications

(6 citation statements)

References 31 publications

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“…Due to the limited connection topologies of NISQ superconducting QCs of square lattice and heavy hex, SWAP gates are required to move data into qubits in the same neighborhood. It has been shown that these gates can dominate transpiled gate counts [40], [41].…”

Section: B Gate Score Methodologymentioning

confidence: 99%

“…We utilize a circuit fidelity model that captures the primary source of error as decoherence in time following the methodology of prior work [40], [41]. The fidelity of a final qubit state, F Q , over a single path or wire in the circuit exponentially decays as a function of the ratio of circuit duration time and the qubit's T 1 (relaxation rate).…”

Section: B Simulated Fidelity Improvementsmentioning

confidence: 99%

See 1 more Smart Citation

Parallel Driving for Fast Quantum Computing Under Speed Limits

McKinney¹,

Zhou²,

Xia³

et al. 2023

Preprint

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Increasing quantum circuit fidelity requires an efficient instruction set to avoid errors from decoherence. The choice of a two-qubit (2Q) hardware basis gate depends on a quantum modulator's native Hamiltonian interactions and applied control drives. In this paper, we propose a collaborative design approach to select the best ratio of drive parameters that determine the best basis gate for a particular modulator. This requires considering the theoretical computing power of the gate along with the practical speed limit of that gate, given the modulator drive parameters. The practical speed limit arises from the couplers' tolerance for strong driving when one or more pumps is applied, for which some combinations can result in higher overall speed limits than others. Moreover, as this 2Q basis gate is typically applied multiple times in succession, interleaved by 1Q gates applied directly to the qubits, the speed of the 1Q gates can become a limiting factor for the quantum circuit. We propose a parallel-drive approach that drives the modulator and qubits simultaneously, allowing a richer capability of the 2Q basis gate and in some cases for this 1Q drive time to be absorbed entirely into the 2Q operation. This allows increasingly short duration 2Q gates while mitigating a significant source of overhead in some quantum systems. On average, this approach can decrease circuit duration by 17.84% and decrease infidelity for random 2Q gates by 10.5% compared to the best basic 2Q gate, √ iSWAP.

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Section: B Gate Score Methodologymentioning

confidence: 99%

Section: B Simulated Fidelity Improvementsmentioning

confidence: 99%

Parallel Driving for Fast Quantum Computing Under Speed Limits

McKinney¹,

Zhou²,

Xia³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…We can instead implement the CR gate as a negative half-CR followed by a positive half-CR gate. This polarity switch [17,18] introduces a side effect that appends two Rx(180) gates to the left and the right of the CR native gate. We can also combine the polarity switch and the gate inverse.…”

Section: Cnot Gate Variantsmentioning

confidence: 99%

QContext: Context-Aware Decomposition for Quantum Gates

Liu¹,

Bowman²,

Gokhale³

et al. 2023

Preprint

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In this paper we propose QContext, a new compiler structure that incorporates context-aware and topology-aware decompositions. Because of circuit equivalence rules and resynthesis, variants of a gatedecomposition template may exist. QContext exploits the circuit information and the hardware topology to select the gate variant that increases circuit optimization opportunities. We study the basis-gate-level context-aware decomposition for Toffoli gates and the native-gate-level context-aware decomposition for CNOT gates. Our experiments show that QContext reduces the number of gates as compared with the state-of-the-art approach, Orchestrated Trios [13].

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“…Experimental QOC papers incur significant pre-execution calibration overhead to address this issue. By contrast, this work [48], [49] proposes a technique that is bootstrapped purely from daily calibrations that are already performed for the standard set of basis gates. The resulting pulses are used to create an augmented basis gate set.…”

Section: B Partial Compilation Of Variational Algorithms For Noisy In...mentioning

confidence: 99%

Summary: Chicago Quantum Exchange (CQE) Pulse-level Quantum Control Workshop

Smith¹,

Ravi²,

Bronn³

et al. 2022

Preprint

Self Cite

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Quantum information processing holds great promise for pushing beyond the current frontiers in computing. Specifically, quantum computation promises to accelerate the solving of certain problems, and there are many opportunities for innovation based on applications in chemistry, engineering, and finance. To harness the full potential of quantum computing, however, we must not only place emphasis on manufacturing better qubits, advancing our algorithms, and developing quantum software. To scale devices to the fault tolerant regime, we must refine device-level quantum control.On May 17-18, 2021, the Chicago Quantum Exchange (CQE) partnered with IBM Quantum and Super.tech to host the Pulselevel Quantum Control Workshop. At the workshop, representatives from academia, national labs, and industry addressed the importance of fine-tuning quantum processing at the physical layer. The purpose of this report is to summarize the topics of this meeting for the quantum community at large.

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Faster and More Reliable Quantum SWAPs via Native Gates

Cited by 5 publications

References 31 publications

Parallel Driving for Fast Quantum Computing Under Speed Limits

Parallel Driving for Fast Quantum Computing Under Speed Limits

QContext: Context-Aware Decomposition for Quantum Gates

Summary: Chicago Quantum Exchange (CQE) Pulse-level Quantum Control Workshop

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