My work on quantum computing aims to solve the world’s most complex problems

Paul Thomas

In my own artistic practice, I have sought to address the complexity of making the invisible visible. This statement is particularly true when it comes to my Quantum Chaos Series. Using a variety of mediums, from computer-based algorithms to traditional painting, I aim to visualise the liminal space dividing the “classical” and quantum worlds. We exist at an everyday level in a world made real by various cognitive systems and approaches to sensation. Yet at the submolecular level, the world of discrete and independent objects and the uncertain world of quantum flux are clearly distinct.

Maika Takita

Minakshi Soni, Sanjay Sharma

Quantum computation is the effective and inherent parallelized way of solving real world problems over quantum computer. The real world demands for a parallelization just to achieve the performance speed-up and for obtaining optimized computational results. This paper investigates various quantum computational approaches to achieve intrinsic parallelization, focusing on superposition and entanglement to perform multiple computations simultaneously. Based on a comparative classical-quantum aspect, the emergence and significance of the quantum computing is justified. The key quantum algorithms, including Shor’s and Grover’s, are analyzed for their parallel processing potential and impact on solving complex problem. The potential of quantum computation in the cryptography, cybersecurity and machine learning generate benefits and enhances performance using the quantum approaches. This paper aims to advance the understanding and the development of quantum computational methods as highly efficient and it contributes to near future of high-performance computing through intrinsic parallelization.

Erik P. DeBenedictis

Dimiter Georgiev Velev, Пламена Златева

Quantum Computing (QC) is a new generation of computing technologies based on the principles of quantum mechanics. It can offer significant advantages over traditional computer systems in solving complex problems that would take years for classical computers. The ability of QC to process vast amounts of information at incredible speeds and find solutions to previously unsolvable problems could accelerate innovation, revolutionize industries and create new business opportunities. QC can be used to solve specific, real-world business problems that can include big data processing, complex calculations, process optimization, and cybersecurity. To realize the potential of QC, companies must invest in partnerships with technology companies, train specialists and experiment with pilot projects. Early adopters will gain a competitive advantage by optimizing operations, creating innovative products and transforming business models. The aim of the paper is to examine the way QC can accelerate innovation processes in business, as well as to outline practical aspects and challenges to help implement this disruptive technology in the corporate environment.