Quantum computing for finance
Quantum computers are expected to surpass the computational capabilities of classical
computers and have a transformative impact on numerous industry sectors. We present a …
computers and have a transformative impact on numerous industry sectors. We present a …
Quantum machine learning: from physics to software engineering
Quantum machine learning is a rapidly growing field at the intersection of quantum
technology and artificial intelligence. This review provides a two-fold overview of several key …
technology and artificial intelligence. This review provides a two-fold overview of several key …
A survey of quantum computing for finance
Quantum computers are expected to surpass the computational capabilities of classical
computers during this decade and have transformative impact on numerous industry sectors …
computers during this decade and have transformative impact on numerous industry sectors …
Quantum machine learning for chemistry and physics
Machine learning (ML) has emerged as a formidable force for identifying hidden but
pertinent patterns within a given data set with the objective of subsequent generation of …
pertinent patterns within a given data set with the objective of subsequent generation of …
[HTML][HTML] An efficient quantum algorithm for the time evolution of parameterized circuits
We introduce a novel hybrid algorithm to simulate the real-time evolution of quantum
systems using parameterized quantum circuits. The method, named" projected–Variational …
systems using parameterized quantum circuits. The method, named" projected–Variational …
A hybrid multi-stage methodology for remaining useful life prediction of control system: Subsea Christmas tree as a case study
With the improvement of control system composition and operation process complexity, the
uncertainty in its operation process increases and real-time observation data is difficult to …
uncertainty in its operation process increases and real-time observation data is difficult to …
A review of research works on supervised learning algorithms for SCADA intrusion detection and classification
Supervisory Control and Data Acquisition (SCADA) systems play a significant role in
providing remote access, monitoring and control of critical infrastructures (CIs) which …
providing remote access, monitoring and control of critical infrastructures (CIs) which …
Variational inference with a quantum computer
Inference is the task of drawing conclusions about unobserved variables given observations
of related variables. Applications range from identifying diseases from symptoms to …
of related variables. Applications range from identifying diseases from symptoms to …
Forecasting bike sharing demand using quantum Bayesian network
R Harikrishnakumar, S Nannapaneni - Expert Systems with Applications, 2023 - Elsevier
In recent years, bike-sharing systems (BSS) are being widely established in urban cities to
provide a sustainable mode of transport, by fulfilling the mobility requirements of public …
provide a sustainable mode of transport, by fulfilling the mobility requirements of public …
Understanding and compensating for noise on IBM quantum computers
S Johnstun, JF Van Huele - American Journal of Physics, 2021 - pubs.aip.org
Quantum algorithms offer efficient solutions to computational problems that are expensive to
solve classically. Publicly available quantum computers, such as those provided by IBM, can …
solve classically. Publicly available quantum computers, such as those provided by IBM, can …