Hewlett Packard Enterprise Unveils Supercomputing Research That Raises the Bar for Achieving Quantum Advantage
January 27 2022 - 11:56AM
Business Wire
In today’s research published in Science Advances, HPE improves
prediction that it will take 600 million years to simulate a
quantum problem on a supercomputer by dramatically reducing the
time with new prediction of 73 days
Hewlett Packard Enterprise (NYSE: HPE) today announced new
research that demonstrates how supercomputers can be used to test
and benchmark computational performance for the quantum computing
community, redefining theoretical performance claims that future
quantum computers will deliver. The research results reveal how a
problem, called Gaussian Boson Sampling (GBS), which is considered
to be a domain of quantum computing, was achieved using high
performance computing (HPC), or supercomputing, expanding the
boundary of problems that supercomputers can address.
In the new research, team members with HPE’s HPC and AI Business
Group and Hewlett Packard Labs, HPE’s R&D arm, collaborated
with the University of Bristol and Imperial College London to
improve a previous prediction that it would take 600 million years
to simulate a Gaussian Boson Sampling problem of the same size as
an experimental quantum computer, on the world’s largest
supercomputer. After developing an algorithm and applying it to a
simulation of the GBS problem that ran on smaller, older
generations of HPE-built supercomputers, the teams used the
simulation results to predict it would take just 73 days on an even
faster supercomputer.1 The novel algorithm represents a
billion-fold speed-up compared to previous approaches for classical
computers.
“Today’s research, a result of a strong collaboration between
teams at HPE, University of Bristol and Imperial College London,
was inspired by the leading edge of quantum computing development
to extend the value that supercomputing delivers, when combined
with optimized algorithms, to accurately compare computational
advantage between classical computers and quantum computers, and
set new standards of performance,” said Justin Hotard, senior vice
president and general manager, HPC and AI at HPE. “We look forward
to furthering this effort by partnering with the quantum computing
community and integrating the HPE Cray supercomputer product line
with other enabling technologies to advance the journey to
developing future quantum computers.”
New research reveals the expanded boundary of computational
advantage with supercomputing
The latest experiment showcases the increasing value of
supercomputing and how it can be used to test and support current
or near-term quantum experiments that help to accelerate the
commercial relevance of quantum computers.2 The research also
predicts that as supercomputing continues to advance, such as with
upcoming exascale supercomputers that are up to 10 times faster
than today’s most powerful supercomputers, quantum computing
results can be verified in even shorter windows of time, from
months to weeks on faster systems.
HPE’s latest research outcome is a powerful example of the
sustained value of HPC and the potential for novel algorithms in
classical and quantum computing. HPE and teams were inspired by
claims made in a previous paper, the Quantum Computational
Advantage Using Photons, from the University of Science and
Technology of China (USTC). In the paper, USTC’s researchers share
findings from an experiment involving a large, complex quantum
state of light that was measured using single photon detectors in a
protocol called “Gaussian Boson Sampling” (GBS). USTC predicted
that their simulation of GBS, which they performed on a
single-purpose photonic quantum computer, in 200 seconds, would
take 600 million years to simulate on the world's largest
supercomputer.
Researchers with HPE, the University of Bristol and Imperial
College London, applied an algorithm that calculated exact,
correlated photon detection probabilities for GBS simulations. The
researchers first ran the simulations on GW4’s Isambard
supercomputer and an HPE supercomputer that HPE internally uses as
a test system. The simulations on these systems were then used to
predict that it would take an estimated 73 days to run on today’s
fastest supercomputer, and an estimated three weeks on an exascale
supercomputer. The experiment and results were published in today’s
paper, The Boundary of Quantum Advantage in Gaussian Boson
Sampling.
HPE contributes to the quantum computing community with HPC
benchmarks and milestones
To help benchmark computational advantage and identify when and
where future quantum computers will unlock value, HPE is
continuously exploring ways to optimize high performance computing
systems, or supercomputers to validate increasingly demanding
experiments and speed time-to-insight. By using heterogeneous
architectures across CPUs, GPUs, FPGAs and other types of
accelerators, in addition to integrating purpose-built software and
networking capabilities, HPE is continuing to advance HPC that is
the most powerful solution today to solve the world’s most
challenging problems such as in cancer diagnostics and treatment,
drug design, renewable energy, sustainability, and harnessing the
power of quantum mechanics for computation.
To learn more about HPE’s robust portfolio of HPC solutions and
how it is used across various industries, in support of a range of
workloads, please visit: https://www.hpe.com/us/en/compute/hpc
About Hewlett Packard Enterprise
Hewlett Packard Enterprise (NYSE: HPE) is the global
edge-to-cloud company that helps organizations accelerate outcomes
by unlocking value from all of their data, everywhere. Built on
decades of reimagining the future and innovating to advance the way
people live and work, HPE delivers unique, open and intelligent
technology solutions as a service. With offerings spanning Cloud
Services, Compute, High Performance Computing & AI, Intelligent
Edge, Software, and Storage, HPE provides a consistent experience
across all clouds and edges, helping customers develop new business
models, engage in new ways, and increase operational performance.
For more information, visit: www.hpe.com
1)
Prediction of 73 days to solve a Gaussian Boson Sampling simulation
was estimated for the Fugaku supercomputer. 2) Near-term quantum
experiments are based on today’s available quantum computers which
use noisy intermediate-scale quantum (NISQ) devices. NISQ devices
are the leading quantum processors that contain or will contain
nearly 50 to a few hundred qubits, but it is an open research
question whether they will be advanced enough to outperform today’s
most powerful supercomputers on enterprise-relevant workloads.
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Nahren Khizeran Nahren.Khizeran@hpe.com
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