2026-09-19T05:00:48Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1502142023-04-01T03:49:33Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Englund, Dirk Robert
Davis, Marc Grau
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2023-03-31T14:40:06Z
2023-03-31T14:40:06Z
2023-02
2023-02-28T14:36:08.761Z
https://hdl.handle.net/1721.1/150214
Quantum gate synthesis based on numerical optimization produces efficient circuits for NISQ (Noisy Intermediate-Scale Quantum) computing by minimizing the num- ber of two-qubit gates. The requirements for fault tolerant quantum computing are significantly different in that some single qubit gates require magic state distillation and gate teleportation, which are resource intensive. Here, We propose an approach to adapt numerical optimization to error corrected quantum circuits by using sequen- tial two-pass multistart numerical optimizaton to reduce the number of 𝑅z gates that must be approximated with Clifford+𝑇 circuits. This technique allows NISQ synthesis based on numerical optimization to be applied to fault-tolerant circuits as well.
S.M.
Massachusetts Institute of Technology
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http://rightsstatements.org/page/InC-EDU/1.0/
Numerical Synthesis of Arbitrary Multi-Qubit Unitaries with low 𝑇-Count
Thesis
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Master
Master of Science in Electrical Engineering and Computer Science
Publication
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<Abstract>Quantum gate synthesis based on numerical optimization produces efficient circuits for NISQ (Noisy Intermediate-Scale Quantum) computing by minimizing the num- ber of two-qubit gates. The requirements for fault tolerant quantum computing are significantly different in that some single qubit gates require magic state distillation and gate teleportation, which are resource intensive. Here, We propose an approach to adapt numerical optimization to error corrected quantum circuits by using sequen- tial two-pass multistart numerical optimizaton to reduce the number of 𝑅z gates that must be approximated with Clifford+𝑇 circuits. This technique allows NISQ synthesis based on numerical optimization to be applied to fault-tolerant circuits as well.</Abstract>
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