activity
20192023
most citedBenchmarking an 11-qubit quantum computer

515 citations · 750 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2023★ 96 cited

Benchmarking a trapped-ion quantum computer with 30 qubits

Jwo-Sy Chen, Erik Nielsen, Matthew Ebert +8

Quantum computers are rapidly becoming more capable, with dramatic increases in both qubit count and quality. Among different hardware approaches, trapped-ion quantum processors ar…

quant-ph2021

Detecting Qubit-coupling Faults in Ion-trap Quantum Computers

Andrii O. Maksymov, Jason Nguyen, Vandiver Chaplin +2

Ion-trap quantum computers offer a large number of possible qubit couplings, each of which requires individual calibration and can be misconfigured. To enhance the duty cycle of an…

quant-ph2019★ 104 cited

Efficient Arbitrary Simultaneously Entangling Gates on a trapped-ion quantum computer

Nikodem Grzesiak, Reinhold Blümel, Kristin Beck +7

Efficiently entangling pairs of qubits is essential to fully harness the power of quantum computing. Here, we devise an exact protocol that simultaneously entangles arbitrary pairs…

quant-ph2019★ 515 cited

Benchmarking an 11-qubit quantum computer

K. Wright, K. M. Beck, S. Debnath +21

The field of quantum computing has grown from concept to demonstration devices over the past 20 years. Universal quantum computing offers efficiency in approaching problems of scie…

quant-ph2019★ 35 cited

Ground-state energy estimation of the water molecule on a trapped ion quantum computer

Yunseong Nam, Jwo-Sy Chen, Neal C. Pisenti +23

Quantum computing leverages the quantum resources of superposition and entanglement to efficiently solve computational problems considered intractable for classical computers. Exam…