Quantum computing is a very active field producing many publications and varied perspectives. A quantum computer, as the name suggests, is a computer that can operate at the quantum level thus offering enormous improvements in energy consumption and size reductions. Significant size reductions and the use of photons should also lead to vast improvements in computational speed. The concept of a quantum computer goes beyond physical computers and seeks to offer an alternative universal computer. It does so by utilizing analogs to bits known as qubits. The interferometric computer is a macroscopic apparatus that allows the control of photon propagation via the probabilistic laws of quantum mechanics. The term quantum computer, however, applies to devices at the atomic scale that can be used to control the emission and/or propagation of quantum radiation obeying quantum logic rules.
Quantum computing is a very active field producing many publications and varied perspectives. A quantum computer, as the name suggests, is a computer that can operate at the quantum level thus offering enormous improvements in energy consumption and size reductions. Significant size reductions and the use of photons should also lead to vast improvements in computational speed. The concept of a quantum computer goes beyond physical computers and seeks to offer an alternative universal computer. It does so by utilizing analogs to bits known as qubits. The interferometric computer is a macroscopic apparatus that allows the control of photon propagation via the probabilistic laws of quantum mechanics. The term quantum computer, however, applies to devices at the atomic scale that can be used to control the emission and/or propagation of quantum radiation obeying quantum logic rules.
Quantum theory is one of the most successful theories that have influenced the course of
scientific progress during the twentieth century. It has presented a new line of scientific thought, predicted entirely inconceivable situations and influenced several domains of
modern technologies. There are many different ways for expressing laws of science in
general and laws of physics in particular. Similar to physical laws of nature, information
can also be expressed in different ways. The fact that information can be expressed in
different ways without losing its essential nature, leads for the possibility of the automatic
manipulation of information.
Quantum computing is a study area that focuses on developing computers based on the properties of “quantum theory” & “quantum physics”. Quantum theory defines the behavior & nature of energy and matter on the “atomic” and “subatomic” levels also known as the quantum levels. A quantum computer is a computational device that utilizes the phenomena of quantum mechanics with its quantum properties to structure & process data. A large-scale quantum computer is capable of performing operations in exponentially enormous speed compared to a classical computer. Development of such computers is considered a massive leap for mankind in computing abilities with huge performance gains for simulations or brute force for example.
All ways of expressing information use physical system, spoken words are
conveyed by air pressure fluctuations: “No information without physical representation”.
Quantum computers are not meant to replace typical computers. In practice, they will be separate instruments used to solve complex, data-heavy problems, particularly those that make use of machine learning, where the system can make predictions and improve over time.
Abstract: Quantum computing is a modern calculation method that is based on the science of quantum mechanics. These phenomena include the bizarre behavior of particles at the atomic and subatomic levels, and the way that these particles can be in multiple states simultaneously. The field of computer science is a great mix of physics, math, and information theory. This technology provides high computing power, low power consumption, and exponential speed by controlling the behavior of small physical objects, such as atoms. Atoms, electrons, photons, etc. are all elements of the physical world. We would like to introduce the basics of quantum computing, and some of the ideas behind it. This article begins with the origins of the classical computer and discusses all the improvements and transformations that have been made due to its limitations thus far, then moves on to the basic operations of quantum computing and results in quantum properties such as superposition, entanglement, and interference.
We present a novel self-correcting, high-speed optoelectronic probabilistic computer architecture that leverages source-device independent (SDI) quantum photonic p-bits integrated with robust electronic control. Our approach combines the intrinsic randomness and high bandwidth of quantum photonics with the programmability and scal- ability of classical electronics, enabling efficient and flexible probabilistic computation. We detail the design and implementation of a prototype system based on photonic integrated circuits and FPGA-based control, capable of implementing and manipulating 64000 logical p-bits. Experimental results demonstrate that our architecture achieves a flip rate of 2.7 x 10^9 flips/s with an energy consumption of 4.9 nJ/flip, representing nearly three orders of magnitude improvement in speed and energy efficiency compared to state-of-the-art magnetic tunnel junc- tion (MTJ) based systems. Furthermore, the SDI protocol enables real-time self-certification and error correction, ensuring reliable operation across a wide range of conditions and solving the problem of hardware variability as the number of p-bits scale. Our results establish quantum photonic p-bits as a promising platform for scalable, high-performance probabilistic computing, with significant implications for combinatorial optimization, machine learning, and complex system modeling.
Quantum computing is the area of study focused on developing computer technology based on the principles of quantum theory. The quantum computer, following the laws of quantum physics, would gain enormous processing power through the ability to be in multiple states and to perform tasks using all possible permutations simultaneously. In a quantum computer, a number of elemental particles such as electrons or photons can be used with either their charge or polarization acting as a representation of 0 and/or 1. Each of these particles is known as a quantum bit, or qubit; the nature and behavior of these particles form the basis of quantum computing. The biggest and the most important one is the ability to factorize a very large number into two prime numbers. That is really important because that is what almost all encryptions of internet applications use and can be de-encrypted.
Over the past decade, the rapid advancement of deep learning and big data applications has been driven by vast datasets and high-performance computing systems. However, as we approach the physical limits of semiconductor fabrication in the post-Moore's Law era, questions arise about the future of these applications. In parallel, quantum computing has made significant progress with the potential to break limits. Major companies like IBM, Google, and Microsoft provide access to noisy intermediate-scale quantum (NISQ) computers. Despite the theoretical promise of Shor's and Grover's algorithms, practical implementation on current quantum devices faces challenges, such as demanding additional resources and a high number of controlled operations. To tackle these challenges and optimize the utilization of limited onboard qubits, we introduce ReSaQuS, a resource-efficient index-value searching system within a quantum-classical hybrid framework. Building on Grover's algorithm, ReSaQuS employs an automatically managed iterative search approach. This method analyzes problem size, filters fewer probable data points, and progressively reduces the dataset with decreasing qubit requirements. Implemented using Qiskit and evaluated through extensive experiments, ReSaQuS has demonstrated a substantial reduction, up to 86.36\% in cumulative qubit consumption and 72.72\% in active periods, reinforcing its potential in optimizing quantum computing application deployment.
The quantum computer, is a "supercomputer" that relies on the phenomena of quantum mechanics to perform operations on data. Object of suppositions, sometimes farfetched, quantum mechanics gave birth to the quantum computer, a machine capable of processing data tens of millions of times faster than a conventional computer. A quantum computer doesn't use the same memory as a conventional computer. Rather than a sequence of 0 and 1, it works with qubits or quantum bits. The quantum computer is a combination of two major scientific fields: quantum mechanics and computer science. Quantum mechanics, on which this computer is based, governs the movement of bodies in the atomic, molecular and corpuscular domains, is a theory whose logic is totally contrary to intuition and it is essential to use mathematics to fully grasp it. Quantum computing is the sub-domain of computer science that deals with quantum computers using quantum mechanical phenomena, as opposed to those of electricity exclusively, for so-called "classical" computing. The quantum phenomena used are quantum entanglement and superposition. The article examines some aspects related to the development, operation, advantages and difficulties, applications and future of the quantum computer.