4,042 research outputs found
Adiabatic Quantum Optimization for Associative Memory Recall
Hopfield networks are a variant of associative memory that recall information
stored in the couplings of an Ising model. Stored memories are fixed points for
the network dynamics that correspond to energetic minima of the spin state. We
formulate the recall of memories stored in a Hopfield network using energy
minimization by adiabatic quantum optimization (AQO). Numerical simulations of
the quantum dynamics allow us to quantify the AQO recall accuracy with respect
to the number of stored memories and the noise in the input key. We also
investigate AQO performance with respect to how memories are stored in the
Ising model using different learning rules. Our results indicate that AQO
performance varies strongly with learning rule due to the changes in the energy
landscape. Consequently, learning rules offer indirect methods for
investigating change to the computational complexity of the recall task and the
computational efficiency of AQO.Comment: 22 pages, 11 figures. Updated for clarity and figures, to appear in
Frontiers of Physic
Quantum Security for the Physical Layer
The physical layer describes how communication signals are encoded and
transmitted across a channel. Physical security often requires either
restricting access to the channel or performing periodic manual inspections. In
this tutorial, we describe how the field of quantum communication offers new
techniques for securing the physical layer. We describe the use of quantum
seals as a unique way to test the integrity and authenticity of a communication
channel and to provide security for the physical layer. We present the
theoretical and physical underpinnings of quantum seals including the quantum
optical encoding used at the transmitter and the test for non-locality used at
the receiver. We describe how the envisioned quantum physical sublayer senses
tampering and how coordination with higher protocol layers allow quantum seals
to influence secure routing or tailor data management methods. We conclude by
discussing challenges in the development of quantum seals, the overlap with
existing quantum key distribution cryptographic services, and the relevance of
a quantum physical sublayer to the future of communication security.Comment: 7 pages, 6 figure
Application of Quantum Annealing to Nurse Scheduling Problem
Quantum annealing is a promising heuristic method to solve combinatorial
optimization problems, and efforts to quantify performance on real-world
problems provide insights into how this approach may be best used in practice.
We investigate the empirical performance of quantum annealing to solve the
Nurse Scheduling Problem (NSP) with hard constraints using the D-Wave 2000Q
quantum annealing device. NSP seeks the optimal assignment for a set of nurses
to shifts under an accompanying set of constraints on schedule and personnel.
After reducing NSP to a novel Ising-type Hamiltonian, we evaluate the solution
quality obtained from the D-Wave 2000Q against the constraint requirements as
well as the diversity of solutions. For the test problems explored here, our
results indicate that quantum annealing recovers satisfying solutions for NSP
and suggests the heuristic method is sufficient for practical use. Moreover, we
observe that solution quality can be greatly improved through the use of
reverse annealing, in which it is possible to refine a returned results by
using the annealing process a second time. We compare the performance NSP using
both forward and reverse annealing methods and describe how these approach
might be used in practice.Comment: 20 pages, 13 figure
The effect of the interplanetary magnetic field on sidereal variations observed at medium depth underground detectors
It has been known for some years that the intensity variations in sidereal time observed by muon detectors at moderate underground depths are sensitive to the polarity of the interplanetary magnetic field (ipmf) near the Earth. There are differences in the response to these anisotropies as observed in the Norhtern and southern hemispheres. When fully understood, the nature of the anisotropy seems likely to provide information on the 3-dimensional structure of the heliomagnetosphere, its time variations, and its linking with the local interstellar field. The summation harmonic dials for the sidereal diurnal variation during 1958 to 1982 show that there is a strong dependence on whether the ipmf near the Earth is directed outwards from the Sun or inwards it
Quantum Accelerators for High-Performance Computing Systems
We define some of the programming and system-level challenges facing the
application of quantum processing to high-performance computing. Alongside
barriers to physical integration, prominent differences in the execution of
quantum and conventional programs challenges the intersection of these
computational models. Following a brief overview of the state of the art, we
discuss recent advances in programming and execution models for hybrid
quantum-classical computing. We discuss a novel quantum-accelerator framework
that uses specialized kernels to offload select workloads while integrating
with existing computing infrastructure. We elaborate on the role of the host
operating system to manage these unique accelerator resources, the prospects
for deploying quantum modules, and the requirements placed on the language
hierarchy connecting these different system components. We draw on recent
advances in the modeling and simulation of quantum computing systems with the
development of architectures for hybrid high-performance computing systems and
the realization of software stacks for controlling quantum devices. Finally, we
present simulation results that describe the expected system-level behavior of
high-performance computing systems composed from compute nodes with quantum
processing units. We describe performance for these hybrid systems in terms of
time-to-solution, accuracy, and energy consumption, and we use simple
application examples to estimate the performance advantage of quantum
acceleration.Comment: "If you want to go quickly, go alone. If you want to go far, go
together.
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