SQuInT 2022 Program
Full Program | Thursday | Friday | Saturday | All Sessions | Posters | Talks
SESSION 11: Quantum field theory and many-body states (Islands Ballroom)Chair: (Andrew Landahl (Sandia National Lab)) | |
| 10:45 am - 11:30 am | Natalie Klco, Duke University (invited) Quantum simulating (with) an entangled fabric | Abstract. Toward the quantum simulation of lattice gauge theories, we will discuss the many complementary routes for representing continuous fields onto discrete quantum systems, reverberations of such decisions throughout subsequent algorithmic quantum resources, and techniques for reliably protecting symmetries during imperfect dynamical evolution. From multiple perspectives, this will lead to examples of how naturally distributed entanglement in the simulated field can provide practical guidance toward quantum simulation (co)design, both for applications in fundamental physics and for large-scale quantum computations more broadly. |
| 11:30 am - 12:00 pm | Sajant Anand, University of California Berkeley Holographic quantum simulation of entanglement renormalization circuits | Abstract. While standard approaches to quantum simulation require a number of qubits proportional to the number of simulated particles, current noisy quantum computers are limited to tens of qubits. With the technique of holographic quantum simulation, a D-dimensional system can be simulated with a D−1-dimensional subset of qubits, enabling the study of systems significantly larger than current quantum computers. Using circuits derived from the multiscale entanglement renormalization ansatz (MERA), we accurately prepare the ground state of an L=32 critical, non-integrable perturbed Ising model and measure long-range correlations on the 10 qubit Quantinuum trapped ion computer. We introduce generalized MERA (gMERA) networks that interpolate between MERA and matrix product state networks and demonstrate that gMERA can capture far longer correlations than a MERA with the same number of qubits, at the expense of greater circuit depth. Finally, we perform noisy simulations of these two network ansätze and find that the optimal choice of network depends on noise level, available qubits, and the state to be represented. |
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SQuInT Chief Organizer
Akimasa Miyake, Associate Professor
amiyake@unm.edu
SQuInT Co-Organizer
Hartmut Haeffner, Associate Professor, UC Berkeley
hhaeffner@berkeley.edu
SQuInT Administrator
Dwight Zier
d29zier@unm.edu
505 277-1850
SQuInT Program Committee
Alberto Alonso, Postdoc, UC Berkeley
Philip Blocher, Postdoc, UNM
Neha Yadav, Postdoc, UC Berkeley
Cunlu Zhou, Postdoc, UNM
SQuInT Founder
Ivan Deutsch, Regents' Professor, CQuIC Director
ideutsch@unm.edu
