Bulletin of the American Physical Society
2020 Fall Meeting of the APS Division of Nuclear Physics
Volume 65, Number 12
Thursday–Sunday, October 29–November 1 2020; Time Zone: Central Time, USA
Session 1WC: Computational Advances in Nuclear Science I |
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Chair: Alexis Mercenne, Yale University |
Thursday, October 29, 2020 9:00AM - 9:36AM |
1WC.00001: Quantum Computing and Lattice QCD Invited Speaker: Martin Savage Integration of Quantum Information Science (QIS) into Nuclear Physics research is anticipated to disruptively enhance our ability to address our grand challenge problems. In the early 1980’s, it was recognized by Feynman and others that simulations of quantum systems, from the earliest moments of the universe during which the matter-antimatter asymmetry emerged, to the matter at the core of neutron stars and in other astrophysical environments, to the structure and reactions of nuclei, lie beyond the capabilities of classical computation and ultimately requires simulations using quantum computers. Able to implement real-time time evolution on an exponentially large Hilbert space, future quantum simulators have the potential to quantitatively address these systems. Advances in the control of entanglement and superposition over increasingly large volumes of space-time have led to first devices for quantum simulation. Cold-atom, trapped-ion and superconducting qubit devices, and related programming languages, are becoming increasingly available to nuclear physicists for early explorations of analog, digital and hybrid simulations of model quantum systems. I will present the status of this emerging area, implications for QCD, and outline what the next 10 years may hold. [Preview Abstract] |
Thursday, October 29, 2020 9:36AM - 10:12AM |
1WC.00002: Projected Cooling Algorithm for Quantum Computation Invited Speaker: Dean Lee The projected cooling algorithm is a quantum computing method that constructs the localized ground state of any Hamiltonian with interactions that vanish at large distances. We start with an initial state with support over a compact region of a large volume. We then drive the excited quantum states to disperse and measure the remaining portion of the wave function left behind. These characteristics make the projected cooling algorithm a promising tool for calculations of self-bound systems such as atomic nuclei. [Preview Abstract] |
Thursday, October 29, 2020 10:12AM - 10:48AM |
1WC.00003: Towards quantum computations of atomic nuclei Invited Speaker: Gaute Hagen In this talk I will present an overview of recent advances of quantum computing in nuclear physics. The atomic nucleus presents us with a strongly interacting quantum many-body problem with a computational complexity that increases exponentially with number of protons and neutrons for exact solutions. Solving for the quantum properties of atomic nuclei thus becomes prohibitively costly as its size increase. Approximations that scale polynomial with system size have made significant progress in describing properties of nuclei as heavy as tin, and I will present recent results from coupled-cluster computations. Using quantum devices to perform computations of nuclei is anticipated to provide a quantum advantage over classical computations. Recently, quantum many-body problems in chemistry, condensed matter, and subatomic physics have been addressed with quantum computing using a few to tens of qubits. In nuclear physics quantum simulations have so far been limited to proof of concept computations of properties of small systems, and I will give an overview on some recent activities. [Preview Abstract] |
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