When Mohammad Javad Khojasteh arrived at MIT’s Laboratory for Information and Decision Systems (LIDS) in 2020 to begin his postdoc appointment, he was introduced to an entirely new universe. The domain he knew best could be explained by “classical” physics that predicts the behavior of ordinary objects with near-perfect accuracy (think Newton’s three laws of motion). But this new universe was governed by bizarre laws that can produce unpredictable results while operating at scales typically smaller than an atom.
“The rules of quantum mechanics are counterintuitive and seem very strange when you first start to learn them,” Khojasteh says. “But the more you know, the clearer it becomes that the underlying logic is extremely elegant.”
As a member of Professor Moe Win’s lab, called the Wireless Information and Network Sciences Laboratory, or WINS Lab, Khojasteh’s job is to straddle both the classical and quantum realms, in order to improve state-of-the-art communication, sensing, and computational capabilities.
Quantum algorithms: An algorithm is a sequence of steps that leads to the solution of a problem. In order to execute these steps on a device, one must use specific instruction sets that the device is designed to do so.
Quantum computing introduces different instruction sets that are based on a completely different idea of execution when compared with classical computing. The aim of quantum algorithms is to use quantum effects like superposition and entanglement to get the solution faster.
Source: Artificial Intelligence vs Artificial General Intelligence: Eric Schmidt Explains the Difference.
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An international team of physicists, with the participation of the University of Augsburg, has for the first time confirmed an important theoretical prediction in quantum physics…
Quantum computers and communication devices work by encoding information into individual or entangled photons, enabling data to be quantum securely transmitted and manipulated exponentially faster than is possible with conventional electronics. Now, quantum researchers at Stevens Institute of Technology have demonstrated a method for encoding vastly more information into a single photon, opening the door to even faster and more powerful quantum communication tools.
Typically, quantum communication systems “write” information onto a photon’s spin angular momentum. In this case, photons carry out either a right or left circular rotation, or form a quantum superposition of the two known as a two-dimensional qubit.
It’s also possible to encode information onto a photon’s orbital angular momentum —the corkscrew path that light follows as it twists and torques forward, with each photon circling around the center of the beam. When the spin and angular momentum interlock, it forms a high-dimensional qudit—enabling any of a theoretically infinite range of values to be encoded into and propagated by a single photon.
Circa 2022 Silicon based quantum computer is 99 percent accurate.
Universal quantum logic operations with fidelity exceeding 99%, approaching the threshold of fault tolerance, are realized in a scalable silicon device comprising an electron and two phosphorus nuclei, and a fidelity of 92.5% is obtained for a three-qubit entangled state.
A theoretical physicist who has never had a regular job has won the most lucrative prize in science for his pioneering contributions to the mind-bending field of quantum computing.
David Deutsch, who is affiliated with the University of Oxford the $3m (about £2.65m) Breakthrough prize in fundamental physics with three other researchers who laid the foundations for the broader discipline of quantum information.
A new type of superconducting qubit could solve a “crowding” problem that hinders the development of superconducting quantum computers with large numbers of qubits.
It may be possible to develop superconductors that operate at room temperature with further knowledge of the relationship between spin liquids and superconductivity, which would transform our daily lives.
Superconductors offer enormous technical and economic promise for applications such as high-speed hovertrains, MRI machines, efficient power lines, quantum computing.
Performing computation using quantum-mechanical phenomena such as superposition and entanglement.
China Launches World’s Fastest Quantum Computers | China’s Advancement In Quantum Computers #technology.
“Techno Jungles”
In 2019, Google announced that its 53-qubit Sycamore processor had finished a task in 3.3 minutes that would have taken a conventional supercomputer at least 2.5 days to accomplish. According to reports, China’s 66-Qubit Zuchongzhi 2 Quantum Processor was able to complete the same task 1 million times faster in October of last year. Together with the Shanghai Institute of Technical Physics and the Shanghai Institute of Microsystem and Information Technology, a group of researchers from the Chinese Academy of Sciences Center for Excellence in Quantum Information and Quantum Physics were responsible for the development of that processor.
According to NDTV, the Chinese government under Xi Jinping has spent $10 billion on the country’s National Laboratory for Quantum Information Sciences. This demonstrates China’s significant commitment to the field of quantum computing. According to Live Science, the nation is also a world leader in the field of quantum networking, which involves the transmission of data that has been encoded through the use of quantum mechanics over great distances.
Classical computers cannot compete with the capabilities of quantum computers when it comes to certain tasks due to the peculiar mathematics that governs the quantum world. Quantum computers perform calculations using qubits, which can simultaneously exist in many states, in contrast to classical computers, which perform calculations using bits, which can only have one of two states (typically represented by a 1 or a 0). Because of this, quantum computers solve problems significantly faster than traditional computers. But despite the existence of theories that have been around for decades and predict that quantum computing will outperform classical computing, the construction of practical quantum computers has proven to be a great deal more difficult.
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But beyond that, the company says, the game will switch to assembling such processors into modular circuits, in which the chips are wired together via sparser quantum or classical interconnections. That effort will culminate in what they refer to as their 4158-qubit Kookaburra device in 2025. Beyond then, IBM forecasts modular processors with 100,000 or more qubits, capable of computing without the errors that currently make quantum computing a matter of finding workarounds for the noisiness of the qubits. With this approach, the company’s quantum computing team is confident that it can achieve a general “quantum advantage”, where quantum computers will consistently outperform classical computers and conduct complex computations beyond the means of classical devices.
While he was in London on his way to the 28 th Solvay conference in Brussels, which tackled quantum information, Physics World caught up with physicist Jay Gambetta, vice-president of IBM Quantum. Having spearheaded much of the company’s advances over the past two decades, Gambetta explained how these goals might be reached and what they will entail for the future of quantum computing.
