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Travel time optimization on multi-AGV routing by reverse annealing
Quantum annealing has been actively researched since D-Wave Systems produced the first commercial machine in 2011. Controlling a large fleet of automated guided vehicles is one of the real-world applications utilizing quantum annealing. In this study, we
Renichiro Haba +2 more
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<p>CUDA Quantum is now available <a href="https://pypi.org/project/cuda-quantum/">on PyPI</a>! For the initial PyPI release, the NVIDIA multi-gpu and tensornet backends are not yet included. Check out our Docker images <a href="https:
The CUDA Quantum development team
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Quantum Annealing and Computation [PDF]
We introduce and review briefly the phenomenon of quantum annealing and analog computation. The role of quantum fluctuation (tunneling) in random systems with rugged (free) energy landscapes having macroscopic barriers are discussed to demonstrate the ...
Mukherjee, Sudip, Chakrabarti, Bikas K
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Quantum Annealing: An Overview [PDF]
In this review, after providing the basic physical concept behind quantum annealing (or adiabatic quantum computation), we present an overview of some recent theoretical as well as experimental developments pointing to the issues which are still debated.
Dutta, Amit +3 more
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Expanding the scope of quantum annealing applicability
With the emergence of D-wave’s quantum annealing machine, the power of quantum computing has become tangible, and the development of quantum computers is accelerating rapidly.
Hiroshi Isshiki, Koki Asari
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Deep learning optimal quantum annealing schedules for random Ising models
A crucial step in the race towards quantum advantage is optimizing quantum annealing using ad-hoc annealing schedules. Motivated by recent progress in the field, we propose to employ long-short term memory neural networks to automate the search for ...
Pratibha Raghupati Hegde +3 more
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In situ upgrade of quantum simulators to universal computers [PDF]
Quantum simulators, machines that can replicate the dynamics of quantum systems, are being built as useful devices and are seen as a stepping stone to universal quantum computers.
Benjamin Dive +7 more
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Advantages of Unfair Quantum Ground-State Sampling
The debate around the potential superiority of quantum annealers over their classical counterparts has been ongoing since the inception of the field.
Brian Hu Zhang +3 more
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Quantum annealing with twisted fields [PDF]
Quantum annealing is a promising method for solving combinational optimization problems and performing quantum chemical calculations. The main sources of errors in quantum annealing are the effects of decoherence and non-adiabatic transition.
Imoto, Takashi +3 more
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The Possible Impact of Quantum Annealing on Cybersecurity
Quantum annealing is an approach to quantum computing that serves as an alternative to general-purpose quantum computing. However, the cryptographic community does not currently view quantum annealing as a significant threat to cryptographic algorithms.
Mateusz Leśniak +2 more
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