24 papers · ranked by Valyu relevance
Koustubh Phalak, Avimita Chatterjee, Swaroop Ghosh, Yutaka Shikano + 1 more
'Masazumi Fujiwara'] Quantum Random Access Memory (QRAM) has the potential to revolutionize the area of quantum computing. QRAM uses quantum computing principles to store and modify quantum or classical data efficiently, greatly accelerating a wide range of computer processes. Despite its importance, there is a lack of…
Authors not listed
Imagine a computer capable of solving currently unsolvable problems. Quantum computing leverages the principles of quantum mechanics to tackle complex challenges that would take classical computers centuries to complete. In this Commentary, we explore the current state of quantum computing development and how it will…
Niklas Johansson, Jan-Åke Larsson
Query complexity is a common tool for comparing quantum and classical computation, and it has produced many examples of how quantum algorithms differ from classical ones. Here we investigate in detail the role that oracles play for the advantage of quantum algorithms. We do so by using a simulation framework, Quantum…
Viv Kendon
Computational methods are the most effective tools we have besides scientific experiments to explore the properties of complex biological systems. Progress is slowing because digital silicon computers have reached their limits in terms of speed. Other types of computation using radically different architectures…
Aram W. Harrow
Quantum computing is a good way to justify difficult physics experiments. But until quantum computers are built, do computer scientists need to know anything about quantum information? In fact, quantum computing is not merely a recipe for new computing devices, but a new way of looking at the world that has been…
Paramita Basak Upama, Md Jobair Hossain Faruk, Mohammad Nazim, Mohammad Masum + 5 more
'Mohammad Masum' 'Hossain Shahriar' 'Gias Uddin' 'Shabir Barzanjeh' 'Sheikh Iqbal Ahamed' 'Akond Rahman'] > ∗Department of Computer Science and Engineering, Eastern University, Bangladesh †Department of Software Engineering and Game Development, Kennesaw State University, USA ‡Department Computer Science; Kennesaw…
Amine Zeguendry, Zahi Jarir, Mohamed Quafafou, Andreas Wichert
Despite its undeniable success, classical machine learning remains a resource-intensive process. Practical computational efforts for training state-of-the-art models can now only be handled by high speed computer hardware. As this trend is expected to continue, it should come as no surprise that an increasing number of…
Francesco Bova, Avi Goldfarb, Roger G. Melko
Despite the scientific and engineering challenges facing the development of quantum computers, considerable progress is being made toward applying the technology to commercial applications. In this article, we discuss the solutions that some companies are already building using quantum hardware. Framing these as…
Chris Ferrie
| Foreword | i | | --- | --- | | The Quantum Age | 2 | | Whence Quantum Computing? | 12 | | Myth 1: Nobody Understands This Quantum Stuff | 29 | | Myth 2: Qubits Are Zero And One At The Same Time | 47 | | Myth 3: Quantum Computers Try All Solutions At Once | 63 | | Myth 4: Quantum Computers Communicate Instantaneously…
Hou Ian, Biao Chen, Zhao Wei
The primordial model of quantum computation was introduced over thirty years ago and the first quantum algorithms have appeared for over twenty years. Yet the exact architectures for quantum computer seem foreign to an undergraduate student major in computer science or engineering, even though the mass media has helped…
Man-Hong Yung
Quantum computation was envisioned by Feynman as a valuable means of solving quantum problems . The question is, how do we prove the superiority of quantum computing over classical devices? A common misconception in describing the power of a quantum computer over a classical computer is that quantum bits can be…
Viv Kendon
Computational methods are the most effective tools we have besides scientific experiments to explore the properties of complex biological systems. Progress is slowing because digital silicon computers have reached their limits in terms of speed. Other types of computation using radically different architectures…
Ronald de Wolf
Quantum mechanics is our best physical theory for describing and predicting the behavior of small (and maybe also larger) objects. It was developed in the first quarter of the 20th century by people like Planck, Einstein, Bohr, Heisenberg, and Schr¨odinger. The predictions it makes about the behavior of small quantum…
Edward Otieno, Katarzyna Matczyszyn, Nelson Mokaya
Quantum computing promises exponential advances in information processing, necessitating the development of appropriate materials for implementing quantum qubits and gates. Liquid crystals, known for their electro-optical characteristics and use in displays, have recently received attention as prospective candidates…
Satish Bhambri
Quantum computing and cloud computing are two gaints for futuristic computing. Both technologies complement each other. Quantum clouds, therefore, is deploying the resources of quantum computation in a cloud environment to provide solution to the challenges and problems faced by present model of classical cloud…
Mohadeseh Zarei Ghoabdi, Elaheh Afsaneh
Quantum machine learning algorithms using the power of quantum computing provide fast- developing approaches for solving complicated problems and speeding-up calculations for big data. As such, they could effectively operate better than the classical algorithms. Herein, we demonstrate for the first time the…
Bayo Lau, Prashant S. Emani, Jackson Chapman, Lijing Yao + 5 more
While many quantum computing (QC) methods promise theoretical advantages over classical counterparts, quantum hardware remains limited. Exploiting near-term QC in computer-aided drug design (CADD) thus requires judicious partitioning between classical and quantum calculations. We present HypaCADD, a hybrid…
Ashar J. Malik, Chandra S. Verma
Quantum computers have demonstrated advantage in tackling problems considered hard for classical computers and hold promise for tackling complex problems in molecular mechanics such as mapping the conformational landscapes of biomolecules. This work attempts to explore a few ways in which classical data, relating to…
Authors not listed
We describe a collaborative research project spanning the disciplines of quantum hardware, quantum algorithms, conventional computational chemistry, synthetic medicinal chemistry and life sciences. Our project seeks to demonstrate an impact of quantum computing on human health. It is one of several funded by Wellcome…
Patrícia Verdugo Pascoal, Deborah Bambil, Rayane N. Lima, Marco Antônio de Oliveira + 3 more
Quantum biology is an emergent field that investigates quantum-mechanical phenomena, such as superposition, tunneling, and entanglement, in the context of data manipulation from living systems. The exploration and engineering of nucleotide sequences rely on quantum mechanical principles, particularly the use of qubit…
Weitang Li, Zhi Yin, Xiaoran Li, Dongqiang Ma + 8 more
Quantum computing, with its superior computational capabilities compared to classical approaches, holds the potential to revolutionize numerous scientific domains, including pharmaceuticals. However, the application of quantum computing for drug discovery has primarily been limited to proof-of-concept studies, which…
Patrícia Verdugo Pascoal, Deborah Bambil, Luisa Mayumi Arake de Tacca, Rayane Nunes Lima + 3 more
The accelerated exploration and engineering of nucleotide sequences are directed towards quantum mechanics and their intrinsic entanglements, implementing the qubits states, including the development of algorithms. The production rate of biological sequencing data has increased to approximately 1 Gb/h, but the ability…
David Thompson, Johan Gielis
Our understanding of quantum phenomena often begins with simple particle-in-a-box style problems, the solutions of which introduce the student to foundational quantum concepts such as degeneracy and quantization. Simple model geometries of confinement afford analytic solutions, which are readily derivable, easily…
Authors not listed
The era of exascale computing presents both exciting opportunities and unique challenges for quantum mechanical simulations. While the transition from petaflops to exascale computing has been marked by a steady increase in computational power, the shift towards heterogeneous architectures, particularly the dominant…