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20162022
most citedFast high-fidelity entangling gates for spin qubits in Si double quantum dots

32 citations · 75 across the 5 of their papers we have counts for

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12 papers · 1 filter

quant-ph2022★ 30 cited

Self-healing of Trotter error in digital adiabatic state preparation

Lucas K. Kovalsky, Fernando A. Calderon-Vargas, Matthew D. Grace +4

Adiabatic time evolution can be used to prepare a complicated quantum many-body state from one that is easier to synthesize and Trotterization can be used to implement such an evol…

quant-ph2022★ 8 cited

Quantum circuit debugging and sensitivity analysis via local inversions

Fernando A. Calderon-Vargas, Timothy Proctor, Kenneth Rudinger +1

As the width and depth of quantum circuits implemented by state-of-the-art quantum processors rapidly increase, circuit analysis and assessment via classical simulation are becomin…

quant-ph2021

Dynamically corrected gates from geometric space curves

Edwin Barnes, Fernando A. Calderon-Vargas, Wenzheng Dong +3

Quantum information technologies demand highly accurate control over quantum systems. Achieving this requires control techniques that perform well despite the presence of decoherin…

quant-ph2021

Designing arbitrary single-axis rotations robust against perpendicular time-dependent noise

Bikun Li, F. A. Calderon-Vargas, Junkai Zeng +1

Low-frequency time-dependent noise is one of the main obstacles on the road towards a fully scalable quantum computer. The majority of solid-state qubit platforms, from superconduc…

quant-ph2021

Fast high-fidelity single-qubit gates for flip-flop qubits in silicon

Fernando A. Calderon-Vargas, Edwin Barnes, Sophia E. Economou

The flip-flop qubit, encoded in the states with antiparallel donor-bound electron and donor nuclear spins in silicon, showcases long coherence times, good controllability, and, in…

quant-ph2020

An adaptive quantum approximate optimization algorithm for solving combinatorial problems on a quantum computer

Linghua Zhu, Ho Lun Tang, George S. Barron +4

The quantum approximate optimization algorithm (QAOA) is a hybrid variational quantum-classical algorithm that solves combinatorial optimization problems. While there is evidence s…