COVID-19 information for PI Residents and Visitors
On Thursday, June 13 the Institute for Quantum Computing (IQC) and Perimeter Institute for Theoretical Physics (PI) will participate in the one-day Many-Body States and Dynamics Workshop II.
The goal of the workshop is to describe ongoing efforts to experimentally realize quantum many-body states and dynamics, and discuss interesting classes of states and dynamics that could be targeted.
Experimentalists working on several platforms (such as photons, atom and ion traps, superconducting qubits, exciton-polaritons, or NMR) and theoreticians specialized in many-body theory (entanglement, topological order, gauge theories, criticality, chaos, error correction, holography) and numerical simulations (exact diagonalization, Monte Carlo, DMRG, tensor networks) will meet for a morning workshop to identify and discuss common interests.
Registration for this event is now closed.
- Daniel Gottesman, Perimeter Institute
- Timothy Hsieh, Perimeter Institute
- Rajibul Islam, Institute for Quantum Computing
- Na Young Kim, University of Waterloo
- Ashley Milsted, Perimeter Institute
- Crystal Senko, Institute for Quantum Computing
- Guifre Vidal, Perimeter Institute
- Chris Wilson, University of Waterloo
- Stephen Bartlett, University of Sydney
- Matthew Beach, Perimeter Institute
- Marina Cortes, University of Edinburgh
- Samuel Cree, Perimeter Institute
- Matthew Day, Institute for Quantum Computing
- Kiena Fana, Institute for Quantum Computing
- Steven Gassner, Institute for Quantum Computing
- Diego Gutierrez Coronel, Perimeter Institute
- Roland Hablützel, Institute for Quantum Computing
- Lauren Hayward Sierens, Perimeter Institute & University of Waterloo
- Angus Kan, Institute for Quantum Computing
- Stefan Kühn, Perimeter Institute
- Pei Jiang Low, University of Waterloo
- Sonell Malik, Institute for Quantum Computing
- Sainath Motlakunta, Institute for Quantum Computing
- Fereshteh Rajabi, Perimeter Institute
- Abhisek Sahu, Institute for Quantum Computing
- Manas Sajjan, University of Waterloo
- Ahmed Shalabi, University of Waterloo
- Esha Swaroop, Institute for Quantum Computing
Thursday, June 13, 2019
Time |
Event |
Location |
9:25 – 9:30am |
Timothy Hsieh, Perimeter Institute |
Bob Room |
9:30 – 9:45am |
Guifre Vidal, Perimeter Institute |
Bob Room |
9:45 – 10:00am |
Timothy Hsieh, Perimeter Institute |
Bob Room |
10:00 – 10:15am |
Ashley Milsted, Perimeter Institute |
Bob Room |
10:15 – 10:30am |
Daniel Gottesman, Perimeter Institute |
Bob Room |
10:30 – 11:00am |
Break |
Bistro – 1st Floor |
11:00 – 11:15am |
Rajibul Islam, Institute for Quantum Computing |
Bob Room |
11:15 - 11:30am |
Na Young Kim, University of Waterloo |
Bob Room |
11:30 – 11:45am |
Crystal Senko, Institute for Quantum Computing |
Bob Room |
11:45 – 12:00pm |
Chris Wilson, University of Waterloo |
Bob Room |
12:00 – 2:00pm |
Lunch |
Bistro – 2nd Floor |
Daniel Gottesman, Perimeter Institute
Maximally sensitive sets of states
Coherent errors in a quantum system can, in principle, build up much more rapidly than incoherent errors, accumulating as the square of the number of qubits in the system rather than linearly. I will characterize the types of channels that can exhibit such behavior and present a simple protocol that can detect and characterize coherent errors whenever they are present, no matter what their nature. This allows us to identify coherent errors in gates and measurements to within a constant fraction of the maximum possible sensitivity to such errors.
Timothy Hsieh, Perimeter Institute
Preparing Critical and Thermofield Double States on a Quantum Computer
I will present an efficient variational approach for preparing highly entangled pure states as well as thermofield double states on a quantum computer. The latter, in addition to being of interest in the holographic correspondence, enables an alternative approach for simulating thermal states without an external heat bath.
Rajibul Islam, Institute for Quantum Computing
Quantum simulation of 2D and 3D spin models in a linear chain of ions
Trapped ions are among the most advanced technology platforms for quantum information processing, in particular quantum simulation. However, ions are most readily trapped as a linear chain in radio-frequency traps, limiting their use to simulate higher dimensional quantum systems. In this talk, I'll describe an analog and an analog-digital hybrid [1] quantum simulation protocols to simulate programmable 2D and 3D spin models in a linear ion chain, by manipulating phonon-mediated long-ranged interactions between ion spins. The ability to dynamically engineer lattice geometries enables the investigation of a rich variety of physical phenomena such as spin frustration, topological states, and quantum quenches.
[1] Rajabi et al., npj Quantum Information 5:32 (2019)
Na Young Kim, University of Waterloo
Polariton Graph Network
Ashley Milsted, Perimeter Institute
TensorNetwork: accelerating tensor network computations and improving the coding experience
Tensor networks are powerful computational tools, widely used in condensed matter physics, and increasingly in high-energy physics, with promising applications to machine learning problems. Developed in collaboration with Google and X, we present TensorNetwork: a new software package that makes it easier to code tensor network algorithms and, by using a framework like TensorFlow as a backend, to accelerate computations using specialized hardware (GPUs, TPUs) and integrate tensor networks into machine-learning projects.
Guifre Vidal, Perimeter Institute
Simulating an expanding universe on Google's Bristlecone
I will describe a proposal to simulate MERA on Google's 72 qubit NISQ device known as Bristlecone, and explain how it can be the basis for simulating inflation in an early universe. Other applications of this proposal include benchmarking of the NISQ device, hybrid classical quantum optimizations and quantum machine learning.
Chris Wilson, University of Waterloo
Quantum Simulation of Lattice Field Theories with Microwave Photons
Using superconducting parametric cavities, we have demonstrated much of the toolbox of linear quantum optics, but also extended it by taking advantage of the strong nonlinearities of superconducting circuits. In a set of experiments, we have used these parametric cavities as a platform for analog quantum simulation of lattice field theories. Preliminary results already show the promise of the platform for this application. For instance, a single device can simulate a number of different models, including topological and chiral models, in a flexible and programmable way.
Quantum Simulation of Lattice Field Theories with Microwave Photons
Using superconducting parametric cavities, we have demonstrated much of the toolbox of linear quantum optics, but also extended it by taking advantage of the strong nonlinearities of superconducting circuits. In a set of experiments, we have used these parametric cavities as a platform for analog quantum simulation of lattice field theories. Preliminary results already show the promise of the platform for this application. For instance, a single device can simulate a number of different models, including topological and chiral models, in a flexible and programmable way.
Lecture 7
Polariton Graph Network
Quantum simulation of 2D and 3D spin models in a linear chain of ions
Trapped ions are among the most advanced technology platforms for quantum information processing, in particular quantum simulation. However, ions are most readily trapped as a linear chain in radio-frequency traps, limiting their use to simulate higher dimensional quantum systems. In this talk, I'll describe an analog and an analog-digital hybrid [1] quantum simulation protocols to simulate programmable 2D and 3D spin models in a linear ion chain, by manipulating phonon-mediated long-ranged interactions between ion spins.
Maximally sensitive sets of states
Coherent errors in a quantum system can, in principle, build up much more rapidly than incoherent errors, accumulating as the square of the number of qubits in the system rather than linearly. I will characterize the types of channels that can exhibit such behavior and present a simple protocol that can detect and characterize coherent errors whenever they are present, no matter what their nature. This allows us to identify coherent errors in gates and measurements to within a constant fraction of the maximum possible sensitivity to such errors.
TensorNetwork: accelerating tensor network computations and improving the coding experience
Tensor networks are powerful computational tools, widely used in condensed matter physics, and increasingly in high-energy physics, with promising applications to machine learning problems. Developed in collaboration with Google and X, we present TensorNetwork: a new software package that makes it easier to code tensor network algorithms and, by using a framework like TensorFlow as a backend, to accelerate computations using specialized hardware (GPUs, TPUs) and integrate tensor networks into machine-learning projects.
Preparing Critical and Thermofield Double States on a Quantum Computer
I will present an efficient variational approach for preparing highly entangled pure states as well as thermofield double states on a quantum computer. The latter, in addition to being of interest in the holographic correspondence, enables an alternative approach for simulating thermal states without an external heat bath.
Simulating an expanding universe on Google's Bristlecone
I will describe a proposal to simulate MERA on Google's 72 qubit NISQ device known as Bristlecone, and explain how it can be the basis for simulating inflation in an early universe. Other applications of this proposal include benchmarking of the NISQ device, hybrid classical quantum optimizations and quantum machine learning.
Scientific Organizers:
- Timothy Hsieh, Perimeter Institute
- Rajibul Islam, Institute for Quantum Computing