Secure quantum key distribution with realistic devices
In principle, quantum key distribution (QKD) offers information-theoretic security based on
the laws of physics. In practice, however, the imperfections of realistic devices might …
the laws of physics. In practice, however, the imperfections of realistic devices might …
Quantum chemistry in the age of quantum computing
Practical challenges in simulating quantum systems on classical computers have been
widely recognized in the quantum physics and quantum chemistry communities over the …
widely recognized in the quantum physics and quantum chemistry communities over the …
[HTML][HTML] Usage impact on data center electricity needs: A system dynamic forecasting model
M Koot, F Wijnhoven - Applied Energy, 2021 - Elsevier
This article presents a forecasting model of data center electricity needs based on
understanding usage growth and we conclude that this growth is not fully compensated by …
understanding usage growth and we conclude that this growth is not fully compensated by …
Parameterized quantum circuits as machine learning models
Hybrid quantum–classical systems make it possible to utilize existing quantum computers to
their fullest extent. Within this framework, parameterized quantum circuits can be regarded …
their fullest extent. Within this framework, parameterized quantum circuits can be regarded …
Quantum supremacy using a programmable superconducting processor
The promise of quantum computers is that certain computational tasks might be executed
exponentially faster on a quantum processor than on a classical processor 1. A fundamental …
exponentially faster on a quantum processor than on a classical processor 1. A fundamental …
From the quantum approximate optimization algorithm to a quantum alternating operator ansatz
The next few years will be exciting as prototype universal quantum processors emerge,
enabling the implementation of a wider variety of algorithms. Of particular interest are …
enabling the implementation of a wider variety of algorithms. Of particular interest are …
Tensorflow quantum: A software framework for quantum machine learning
We introduce TensorFlow Quantum (TFQ), an open source library for the rapid prototyping of
hybrid quantum-classical models for classical or quantum data. This framework offers high …
hybrid quantum-classical models for classical or quantum data. This framework offers high …
Imaging with quantum states of light
The production of pairs of entangled photons simply by focusing a laser beam onto a crystal
with a nonlinear optical response was used to test quantum mechanics and to open new …
with a nonlinear optical response was used to test quantum mechanics and to open new …
[图书][B] Quantum computing: an applied approach
JD Hidary, JD Hidary - 2019 - Springer
Our world, of course, changed in many other ways as well since the publication of the first
edition. The global pandemic impacted all areas of society and will probably transform how …
edition. The global pandemic impacted all areas of society and will probably transform how …
Potential of quantum computing for drug discovery
Quantum computing has rapidly advanced in recent years due to substantial development in
both hardware and algorithms. These advances are carrying quantum computers closer to …
both hardware and algorithms. These advances are carrying quantum computers closer to …