Bulletin of the American Physical Society
APS April Meeting 2022
Volume 67, Number 6
Saturday–Tuesday, April 9–12, 2022; New York
Session Z02: Minisymposium: Quantum Sensors and Computing IIMiniSymposium Recordings Available

Hide Abstracts 
Sponsoring Units: DPF Chair: Julia Gonski, Columbia University Room: Broadway South 
Tuesday, April 12, 2022 3:45PM  4:09PM 
Z02.00001: Synergistic efforts between Dark Matter and quantum computing using Qubits Invited Speaker: Rakshya N Khatiwada Qubits are the building blocks of quantum computing. More recently, qubits have also demonstrated promising results as a possible dark matter detection technology that could reach the ultralight dark matter parameter space currently unreachable with existing technologies. This is due to qubits' singlephoton resolution and sufficiently low dark count rates to observe the elusive dark matter signal. Therefore, the HEP community is finding applications of qubits in fundamental science more and more promising. Similarly, some of the challenges faced by the quantum computing community regarding the impact of cosmic and terrestrial radiation on qubits is the same problem the dark matter community has been working to mitigate for decades with their semiconductor devices. In this context, we will discuss how scientists from the dark matter and quantum computing communities are working together now to solve mutually relevant problems utilizing qubits as sensors. 
Tuesday, April 12, 2022 4:09PM  4:33PM 
Z02.00002: Frontiers in Quantum Simulation for Hight Energy Physics Timothy J Hobbs Far from being static concepts familiar only from elementary quantum mechanics, the notions of quantum entanglement, entropy of entanglement, and decoherence are deeply relevant to processes at work in particle and nuclear systems. This fact, together with recent theoretical strides in formulating models for implementation on quantum devices, has led to an explosion of activity in quantum simulation aimed at particle physics. In addition to developing the underlying technology of quantum simulation, these efforts raise the exciting prospect of uncovering new understandings of structure and dynamics based on the entanglement and decoherence properties of simulated systems. In this talk, I survey the growing ecosystem of quantum simulation for particle physics while highlighting opportunities for NISQera computations and the insights into fundamental HEP they stand to provide. 
Tuesday, April 12, 2022 4:33PM  4:45PM 
Z02.00003: Quantum Simulation with Interacting Staggered Fermions Muhammad Asaduzzaman, Ryo Sakai, Goksu Can Toga, Yannick L Meurice, Simon Catterall We are investigating different aspects of (1+1) dimensional staggered fermions with quantum computers. The model has a hopping term that connects neighboring sites and a SO(4) invariant fourfermion onsite interaction term. We are studying the time evolution of the theory and the structure of the ground state. The interest in the model stems from the fact that it is thought to be capable of generating a fermion mass without breaking symmetries. It is thought that this feature requires the ground state to have a highly entangled structure. Our model is free from sign problems and can hence be simulated using Monte Carlo methods. This allows us to test our quantum simulations. We are also investigating the extension of the original model by adding a finite chemical potential to control the number of fermions. This enlarged model has a sign problem and thus can't be easily investigated with the classical simulation. We propose to implement a quantum simulation of this extended model. We are also investigating the model with tensor network renormalization. 
Tuesday, April 12, 2022 4:45PM  4:57PM 
Z02.00004: Quantum adiabatic machine learning with zooming (QAMLZ) on DWave Advantage Quantum Computer Thomas Sievert QAMLZ is a quantum machine learning (QML) algorithm that categorizes high energy physics (HEP) events amongst a sameparticle, differenttopology background. In theory, QML utilizes the unique nature of quantum computers to perform faster than classical machine learning. However, in practice it's difficult to prove this quantum advantage, let alone physically implement it on a quantum computer; due mostly to the current, errorful quantum computing (QC) hardware. In this presentation, we examine QAMLZ's performance on newlyupdated QC hardware, and discuss the possibility of implementing quantum adiabatic correction (QAC) on QAMLZ. 
Tuesday, April 12, 2022 4:57PM  5:09PM 
Z02.00005: Perturbative boundaries of quantum advantage in lattice field theory Yannick L Meurice In a seminal paper on quantum computation of scattering amplitudes, Jordan, Lee and Preskill motivate their work by stating that perturbative series do not converge. 
Tuesday, April 12, 2022 5:09PM  5:21PM 
Z02.00006: SubMeV dark photon as dark matter in multitemperature universe Zhuyao Wang, Amin Abou Ibrahim, Pran Nath, WanZhe Feng

Follow Us 
Engage
Become an APS Member 
My APS
Renew Membership 
Information for 
About APSThe American Physical Society (APS) is a nonprofit membership organization working to advance the knowledge of physics. 
© 2023 American Physical Society
 All rights reserved  Terms of Use
 Contact Us
Headquarters
1 Physics Ellipse, College Park, MD 207403844
(301) 2093200
Editorial Office
1 Research Road, Ridge, NY 119612701
(631) 5914000
Office of Public Affairs
529 14th St NW, Suite 1050, Washington, D.C. 200452001
(202) 6628700