Optical Supercomputing

Shlomi Dolev, Mihai Oltean

Hutchison, David, Gerhard Weikum, Moshe Y. Vardi +15 more

Shlomi Dolev, Oltean, Mihai

Naoki Yoshioka, Nobuyasu Ito

Abstract A new parallelization method for state-vector simulations of quantum circuits in massively parallel supercomputers is proposed. It removes the requirements about the number of MPI processes and the size of data array of state vector in the commonly used parallelization method, and therefore it enables to use memory in the supercomputers as much as possible. It is demonstrated by using the supercomputer Fugaku that simulations implementing our method work well up to 40 qubits.

Erik P. DeBenedictis

This paper is about making reversible logic a reality for supercomputing. Reversible logic offers a way to exceed certain basic limits on the performance of computers, yet a powerful case will have to be made to justify its substantial development expense. This paper explores the limits of current, irreversible logic for supercomputers, thus forming a threshold above which reversible logic is the only solution. Problems above this threshold are discussed, with the science and mitigation of global warming being discussed in detail. To further develop the idea of using reversible logic in supercomputing, a design for a 1 Zettaflops supercomputer as required for addressing global climate warming is presented. However, to create such a design requires deviations from the mainstream of both the software for climate simulation and research directions of reversible logic. These deviations provide direction on how to make reversible logic practical

George, Dr.A.Shaji, A.S.Hovan George, A.S.Gabrio Martin

Quantum-centric supercomputing has the potential to revolutionize various fields by offering unprecedented computational power to tackle the world's most pressing problems. This research survey aims to provide a comprehensive understanding of the fundamentals of quantum computing, the current state of quantum-centric supercomputers, and their potential applications in solving global challenges. We explore the basic concepts underlying quantum computing, including qubits, superposition, entanglement, and quantum algorithms. Furthermore, we examine the existing and proposed architectures of quantum-centric supercomputers, as well as recent technological advancements and breakthroughs. The paper also discusses the application of these advanced computational systems in areas such as climate modeling, drug discovery, cryptography, and artificial intelligence. Finally, we address the future directions and opportunities for quantum-centric supercomputing, including technological advances, research collaborations, and policy and ethical considerations. Our findings underscore the transformative potential of quantum-centric supercomputing and the need for continued research and development to fully harness its capabilities for addressing the world's most critical problems.