Hardware-efficient quantum computing using qudits
Talkat Near-Term Quantum Computers: Fault Tolerance + Benchmarking + Quantum Advantage + Quantum Algorithms · 2024-04-22..04-26·
summary
Claims a working trapped-ion qudit processor that runs a hybrid qubit–qudit VQE to find the ground state of a single-plaquette 2D lattice QED model, using qutrits and ququints (d=3,5) and showing improved accuracy as d increases. Hardware is a linear ion string with high-fidelity multi-level entangling gates and all-to-all connectivity; circuits shrink (example reduced from 96 gates to 26 gates) and the experiment successfully measures plaquette expectation values.
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chapters (9)
- 0:00Introduction and motivation
- 2:24Quantum simulation goals
- 8:18Gauge theories and physics
- 12:13Lattice gauge challenges
- 21:17Experimental implementation
- 28:30Variational quantum solver
- 36:46Scaling and discretization
- 40:01Conclusion and future vision
- 43:09Q&A and discussion
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