The U.S. Department of Energy Office of Nuclear Physics is developing a strategy for Quantum Information Science (QIS) in the context of Nuclear Physics (NP). To facilitate this, Argonne National Laboratory’s Physics Division will host a DOE-supported workshop, Intersections Between Nuclear Physics and Quantum Information (NPQI 2018).
All researchers with an interest in exploring synergies between quantum information science and nuclear physics are invited to attend. The workshop will be held Wednesday, March 28, through Friday, March 30, 2018, at Argonne National Laboratory in the Building 240 Conference Center.
To register: http://www.phy.anl.gov/npqi2018/registration.php
This workshop will bring together experts in QIS and NP to explore a diverse array of subjects within QIS where DOE Office of Nuclear Physics assets can make significant contributions, and conversely, how these fields can impact NP. Examples of fields within QIS that we wish to explore include: quantum simulation, sensing, imaging, cryptography and tensor networks.
The goal of the workshop is to continue the development of a DOE NP roadmap in QIS. Directions to be explored include:
• Areas where NP theory can help map physical problems to a form that can be studied using quantum computers;
• Areas of experimental quantum computing where NP resources or expertise can have a strong impact and accelerate development;
• Quantum sensing technologies that can be used to improve NP experiments.
The invited talks at this workshop will be inclusive of the NP community, and the program will allow time for short contributed talks (up to 10 minutes) as part of open discussion sessions. The workshop will endeavor to address key questions at the intersection between NP and QIS, for example:
• How can quantum mechanical descriptions of nuclei and field theoretic processes be formulated to enable realistic calculations on the noisy quantum computers and simulators that are likely to be available in the near- to intermediate-term?
• What is the status of quantum simulators, and what are the prospects for simulating Quantum Chromodynamics on these systems?
• What are the needs in quantum information for RF, superconducting, and cryogenic technologies? Can NP expertise prove useful here?
• Where can quantum sensing techniques like squeezing improve the sensitivity of existing NP experiments?
• What novel detectors enable new or improved measurements of fields or particles? For example, nitrogen vacancies for magnetic fields, Rydberg atoms for electric fields, transition edge sensors as bolometers, trapped ions as ultra-sensitive force detectors.
This workshop builds upon the 2016 symposium Quantum Computing: Beginnings to Current Frontiers (http://www.phy.anl.gov/theory/qc2016/) which honored the fundamental contributions of Paul Benioff (https://www.phy.anl.gov/theory/staff/Benioff_P.html) to quantum computing. In three seminal papers Paul developed the first quantum mechanical (Hamiltonian) model for a Turing machine, establishing that quantum Turing machines can be used to simulate classical computers. This work is regarded as the first recognizable theoretical framework for a quantum computer.