Biology and medicine in the landscape of quantum advantages
Quantum computing holds substantial potential for applications in biology and medicine,
spanning from the simulation of biomolecules to machine learning methods for subty** …
spanning from the simulation of biomolecules to machine learning methods for subty** …
The state of quantum computing applications in health and medicine
FF Flöther - Research Directions: Quantum Technologies, 2023 - cambridge.org
Medicine, including fields in healthcare and life sciences, has seen a flurry of quantum-
related activities and experiments in the last few years (although biology and quantum …
related activities and experiments in the last few years (although biology and quantum …
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions
Computational models are an essential tool for the design, characterization, and discovery
of novel materials. Computationally hard tasks in materials science stretch the limits of …
of novel materials. Computationally hard tasks in materials science stretch the limits of …
Quantum computing algorithms: getting closer to critical problems in computational biology
The recent biotechnological progress has allowed life scientists and physicians to access an
unprecedented, massive amount of data at all levels (molecular, supramolecular, cellular …
unprecedented, massive amount of data at all levels (molecular, supramolecular, cellular …
Quantum computing in the next-generation computational biology landscape: From protein folding to molecular dynamics
Modern biological science is trying to solve the fundamental complex problems of molecular
biology, which include protein folding, drug discovery, simulation of macromolecular …
biology, which include protein folding, drug discovery, simulation of macromolecular …
Quantum algorithm for gravitational-wave matched filtering
Quantum computational devices currently under development have the potential to
accelerate data analysis techniques beyond the ability of any classical algorithm. We …
accelerate data analysis techniques beyond the ability of any classical algorithm. We …
Provable advantages of kernel-based quantum learners and quantum preprocessing based on Grover's algorithm
There is an ongoing effort to find quantum speedups for learning problems. Recently [Y. Liu,
Nat. Phys. 17, 1013 (2021) 1745-2473 10.1038/s41567-021-01287-z] proved an …
Nat. Phys. 17, 1013 (2021) 1745-2473 10.1038/s41567-021-01287-z] proved an …
Quantum string matching unfolded and extended
The string matching problem is one of the fundamental problems in computer science with
applications in a variety of fields. Basically, it consists in finding all occurrences of a given …
applications in a variety of fields. Basically, it consists in finding all occurrences of a given …
An improved hashing approach for biological sequence to solve exact pattern matching problems
P Mahmud, A Rahman… - … Intelligence and Soft …, 2023 - Wiley Online Library
Pattern matching algorithms have gained a lot of importance in computer science, primarily
because they are used in various domains such as computational biology, video retrieval …
because they are used in various domains such as computational biology, video retrieval …
The quantum cyclic rotation gate
A Pavone, C Viola - SN Computer Science, 2024 - Springer
A circular shift operator (or cyclic rotation gate) ROT k applies a rightward (or leftward) shift
to an input register of n qubits o by as many positions as encoded by an additional input k∈ …
to an input register of n qubits o by as many positions as encoded by an additional input k∈ …