102 citations · 140 across the 2 of their papers we have counts for
6 papers
Resource-Efficient Quantum Computing by Breaking Abstractions
Yunong Shi, Pranav Gokhale, Prakash Murali +11
Building a quantum computer that surpasses the computational power of its classical counterpart is a great engineering challenge. Quantum software optimizations can provide an acce…
Critical faults of leakage errors on the surface code
Natalie C. Brown, Andrew W. Cross, Kenneth R. Brown
Leakage is a particularly damaging error that occurs when a qubit leaves the defined computational subspace. Leakage errors limit the effectiveness of quantum error correcting code…
Asymptotic Improvements to Quantum Circuits via Qutrits
Pranav Gokhale, Jonathan M. Baker, Casey Duckering +3
Quantum computation is traditionally expressed in terms of quantum bits, or qubits. In this work, we instead consider three-level qu. Past work with qutrits has demonstrated…
Leakage mitigation for quantum error correction using a mixed qubit scheme
Natalie C. Brown, Kenneth R. Brown
Leakage errors take qubits out of the computational subspace and will accumulate if not addressed. A leaked qubit will reduce the effectiveness of quantum error correction protocol…
Handling Leakage with Subsystem Codes
Natalie C. Brown, Michael Newman, Kenneth R. Brown
Leakage is a particularly damaging error that occurs when a qubit state falls out of its two-level computational subspace. Compared to independent depolarizing noise, leaked qubits…
Comparing Zeeman qubits to hyperfine qubits in the context of the surface code: Yb and Yb
Natalie C. Brown, Kenneth R. Brown
Many systems used for quantum computing possess additional states beyond those defining the qubit. Leakage out of the qubit subspace must be considered when designing quantum error…