Office of Science Lawrence Berkeley National Laboratory Quantum Computing Capabilities & Interests Quantum Testbed Stakeholder Workshop Hosted by the Advanced Scientific Computing Research Program February 14 – 16, 2016 Irfan Siddiqi, Materials Science Division (MSD) Jonathan Carter, Computational Research Division (CRD)
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UNIVERSITY OF
CALIFORNIA
Office of
Science- 1 -
Lawrence Berkeley National Laboratory
Quantum Computing Capabilities & Interests
Quantum Testbed Stakeholder Workshop
Hosted by the Advanced Scientific Computing Research Program
February 14 – 16, 2016
Irfan Siddiqi, Materials Science Division (MSD)
Jonathan Carter, Computational Research Division (CRD)
UNIVERSITY OF
CALIFORNIA
Office of
Science
LBNL Capabilities and Interests Summary
2
Advanced & Impactful Computing
• National Energy Research Scientific
Computing (NERSC) Facility
• Quantum Computation
• Post-Moore Digital
• Special-purpose computing
(e.g. Neuromorphic)
Creative Interdisciplinary Partnerships
- Cross-division & UC Berkeley
- CAMERA: Math & Light Source Data
- AQuES (Adv. Quantum Enabled Simulation):
Computer Science, Engineering, Molecular
Foundry, Chemical Sciences, & Materials
Science
Core Capabilities in Quantum Computation
- Existing quantum computing hardware based on trapped ions, cold atoms, &
superconducting circuits with well defined pathways for expansion
• Single FPGA board controls and measures 6-8 qubits• Boards connected via fast fiber interconnect• Local DSP for waveform generation and analysis• Low latency for feedback across the entire network• Scalable to arbitrary number of boards
UNIVERSITY OF
CALIFORNIA
Office of
Science- 15 -
Jarrod McClean
Algorithms
Quantum Computer Science and
Computational Science Capabilities
Joel Moore
Cond. Mat., QVV
Bert de Jong
Algorithms & Control
Umesh Vazirani
QVV
Norman Yao
Cond. Mat., Algorithms
Birgitta Whaley
Chemistry, QVV
Anastasiia Butko
Computer Architecture
Jonathan Carter
Algorithms
UNIVERSITY OF
CALIFORNIA
Office of
Science- 16 -
Computer & Computational Science Ecosystem
Co-Design
Applied Math
Languages & System
Software
Computer Architecture
Group
NERSC (Advanced Technology
Group)
UNIVERSITY OF
CALIFORNIA
Office of
Science17
Applications to Domain Science @ Berkeley Lab
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References:
[1] S. Hacohen-Gourgy et al., Phys. Rev. Lett. 115, 240501 (2015).
[2] M. Gärttner et al. (Bollinger), arXiv:1608.08938 (2016).
[3] R. Barends et al. (Martinis), Nature 508, 500 (2014).
[4] R. Vasseur and J.E. Moore, Phys. Rev. Lett. 112, 146804 (2014).
[5] R. Vasseur, J. Dahlhaus, and J. E. Moore, Phys. Rev. X 4, 041007 (2014).
[6] M. P. Zaletel, D. M. Stamper-Kurn, N Y. Yao, arXiv:1611.04591 (2016).
[7] J. Kemp, N. Y. Yao, C. R. Laumann, P. Fendley, arXiv:1701.00797 (2017).
[8] F. Pollmann, S. Mukerjee, A. Turner, and J. E. Moore, Phys. Rev. Lett. 102, 255701 (2009).
[9] J. A. Kjall, F. Pollmann, and J. E. Moore, Phys. Rev. B 83, 020407 (2011).
[10] C. Karrasch, J. H. Bardarson, and J. E. Moore, Phys. Rev. Lett. 108, 227206 (2012)
Fig. 1: Spin-asymmetric Hubbard model dynamics as an example of translation-invariant quasi-
MBL phase.
Fig.2: Schematic of a localized qubit (central spin) interacting with a complex environment,
leading to decoherence.
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Jz"
Figure 4 – Cross Relaxation Dynamics
A
B
Time ( s)
10 0 10 1 10 2
0.4
0.6
0.8
1
P (
t)
C
100
101
102
Po
pu
latio
n
( s)
D
0.4
0.6
0.8
1
(2 ) 3 MHz (2 ) 8 MHz (2 ) 20 MHz
100
101
102
( s)10
010
110
2
J/r3
0 0.5 1 1.5 2
1/Weff
0
0.05
0.1
0.15
Po
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r la
w e
xp
on
en
t
(MHz -1)
( s)
Strongly correlated materials:
Moore, Yao, Whaley
Nuclear structure:
Haxton
Orthology – complex
optimization problem in
biosciences: Brown, Bouchard
Quantum Associative Memory
for HEP particle tracking:
Calafiura, Shapoval
Catalysts - Coupled electron-
nuclear motion; beyond single
reference methods: de Jong,
McClean, Whaley,
UNIVERSITY OF
CALIFORNIA
Office of
Science
Investments in Quantum Computing Technology
– As part of LDRD initiative in post-Moore computing
– Productive multi-disciplinary team consisting of Computing Sciences, Materials Science, Chemical Science, Molecular Foundry and campus
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Project PI
Solving Problems in Materials Theory via Quantum Networks Moore,Joel