the Global Quantum Computer market is $848 million in 2023 and is growing to about $1.5 billion in 2026.
The main algorithms are for Modeling/Simulation, Optimization, AI and cybersecurity. There is growing amount of mixed purpose.
The end markets are
Research and Development (science investigation)
Chemicals (excluding pharma)
Financial
cybersecurity
About 15 other areas.
https://www.nextbigfuture.com/2023/12/c ... ubits.html
We have entered the start of new era of error corrected quantum computers. There has been a journal Nature paper on the work of a 48 logical qubit error corrected system by researchers from Harvard, MIT, QuEra and NIST/Maryland Usher.
There is another article that gives the state of quantum error correction today.
There is another article that describes how 1500 error corrected qubits could be a major problem for bitcoin and cryptocurrency.
Nature – Logical quantum processor based on reconfigurable atom arrays
The ability to transmit information coherently in the band of the electromagnetic spectrum from microwave to infrared is vitally important to the development of the advanced quantum networks used in computing and communications.
A study conducted by researchers at the State University of Campinas (UNICAMP) in Brazil, in collaboration with colleagues at ETH Zurich in Switzerland and TU Delft in the Netherlands, focused on the use of nanometric optomechanical cavities for this purpose. These nanoscale resonators promote interaction between high-frequency mechanical vibrations and infrared light at wavelengths used by the telecommunications industry.
An article on the study is published in the journal Nature Communications.
Harvard researchers have realized a key milestone in the quest for stable, scalable quantum computing, an ultra-high-speed technology that will enable game-changing advances in a variety of fields, including medicine, science, and finance.
The team, led by Mikhail Lukin, the Joshua and Beth Friedman University Professor in physics and co-director of the Harvard Quantum Initiative, has created the first programmable, logical quantum processor, capable of encoding up to 48 logical qubits, and executing hundreds of logical gate operations, a vast improvement over prior efforts.
Published in Nature, the work was performed in collaboration with Markus Greiner, the George Vasmer Leverett Professor of Physics; colleagues from MIT; and QuEra Computing, a Boston company founded on technology from Harvard labs.
The system is the first demonstration of large-scale algorithm execution on an error-corrected quantum computer, heralding the advent of early fault-tolerant, or reliably uninterrupted, quantum computation.
Quantum computers have the potential to outperform conventional computers on some tasks, including complex optimization problems. However, quantum computers are also vulnerable to noise, which can lead to computational errors.
Engineers have been trying to devise fault-tolerant quantum computing approaches that could be more resistant to noise and could thus be scaled up more robustly. One common approach to attain fault-tolerance is the preparation of magic states, which introduce so-called non-Clifford gates.
Researchers at University of Science and Technology of China, the Henan Key Laboratory of Quantum Information and Cryptography and the Hefei National Laboratory recently demonstrated the preparation of a logical magic state with fidelity beyond the distillation threshold on a superconducting quantum processor. Their paper, published in Physical Review Letters, outlines a viable and effective strategy to generate high-fidelity logical magic states, an approach to realize fault-tolerant quantum computing.
https://newsroom.ibm.com/2023-12-04-IBM ... um-Utility- University of Tokyo, Argonne National Laboratory, Fundacion Ikerbasque, Qedma, Algorithmiq, University of Washington, University of Cologne, Harvard University, UC Berkeley, Q-CTRL demonstrate new research to explore power of utility-scale quantum computing
- ‘IBM Quantum Heron’ is released as IBM’s most performant quantum processor in the world, with newly built architecture offering up to five-fold improvement in error reduction over ‘IBM Quantum Eagle’
- IBM Quantum System Two begins operation with three IBM Heron processors, designed to bring quantum-centric supercomputing to reality
- Expansion of IBM Quantum Development Roadmap for next ten years prioritizes improvements in gate operations to scale with quality towards advanced error-corrected systems
- Qiskit 1.0 announced, the world’s most widely used open-source quantum programming software, with new features to help computational scientists execute quantum circuits with ease and speed
- IBM showcases generative AI models engineered to automate quantum code development with watsonx and optimize quantum circuits
The second-largest quantum computing chip won't be fitted into IBM's next-generation System Two quantum computer. Instead, it will use three smaller 133-qubit chips with a much lower error rate.
Futuristic central processor unit. Powerful Quantum CPU on PCB motherboard with data transfers.
IBM has announced its first quantum computing processor that exceeds 1,000 qubits - the second largest chip ever made. (Image credit: da-kuk via Getty Images)
IBM has announced its first quantum computing processor that exceeds 1,000 qubits, or quantum bits. That makes it the second-largest chip ever made, but researchers are far more excited about one that's a tenth that size.
The 1,121-qubit IBM Quantum Condor chip is built on the architecture of its previous flagship, the 127-qubit Eagle chip. In size, it is just shy of the record holder, a 1,125-qubit machine unveiled by the company Atom in October.
But as part of its 10-year quantum computing road map, IBM said it won't put any of these Condor processors into its "next-generation" System Two quantum computer that would use multiple, simultaneous quantum processors.
https://www.nextbigfuture.com/2024/02/q ... uters.htmlIn 2024, Quera, neutral atom quantum computer company, will beLaunching a quantum computer with ten logical qubits, unique transversal gate capability, and over 256 physical qubits.
The Transversal gates are crucial in quantum computing for their ability to prevent error propagation across qubits, making them inherently error-resistant. They simplify quantum error correction by allowing errors to be corrected independently for each qubit. This system establishes the groundwork for error-corrected quantum computing.
https://www.nextbigfuture.com/2024/02/i ... uters.htmlInfleqtion announced the next phase of its quantum computing program: Sqorpius, the world’s largest qubit array, comprising 1600 qubits. This new initiative encompasses substantial investments in both hardware and software and is dedicated to creating error-corrected logical qubits tailored for commercial applications.
Alongside the announcement of Sqorpius, Infleqtion revealed significant milestones in gate fidelity, qubit array scaling, and development of its quantum error-correction system. Notably, the company celebrated a major milestone by unveiling the world’s largest qubit array, comprising 1600 qubits. These achievements signal progress towards the company’s overarching goal of delivering fault-tolerant quantum computers within the next five years, paving the way for genuine commercial advantage.
Making quantum systems more scalable is one of the key requirements for the further development of quantum computers because the advantages they offer become increasingly evident as the systems are scaled up. Researchers at TU Darmstadt have recently taken a decisive step toward achieving this goal.
Quantum processors based on two-dimensional arrays of optical tweezers, which are created using focused laser beams, are one of the most promising technologies for developing quantum computing and simulation that will enable highly beneficial applications in the future. A diverse range of applications from drug development through to optimizing traffic flows will benefit from this technology.
PASQAL, a leader in neutral atoms quantum computing, is releasing a significant technology roadmap today.
Key highlights will include:
Scaling Up: Roadmap targets 10,000 qubits by 2026, progression towards fault-tolerant systems.
Customer Focus: Devices already in the hands of end-users (100+ qubits), driving software development.
Promising Research: Recent advances demonstrate potential for quantum error correction (QEC) with neutral atoms.
Customer Driven: Technology roadmap directly informed by commercial partner needs.
International Expansion: Collaboration hubs in France, Canada, and Korea link industry and academia.
Rapid Growth: Trajectory from startup to multinational, with 8 global offices and manufacturing in France and Canada.
Scientists around the world work hard to rinse quantum systems for noise, which may disturb the function of tomorrow's powerful quantum computers. Researchers from the Niels Bohr Institute (NBI) have found a way to use noise to process quantum information. This raises the performance of the quantum computing unit, the qubit.
An international collaboration led by scientists at the Niels Bohr Institute (NBI), University of Copenhagen, has demonstrated an alternative approach. Their method allows to use noise to process quantum information. As a result, the performance of the fundamental quantum computing unit of information, the qubit, is increased by 700%.
These results are published in the journal Nature Communications.
"Avoiding noise in quantum systems has proven difficult, since almost any change in the environment can spoil things. For instance, your system may be operating at a given magnetic or electric field, and if that field changes just slightly the quantum effects fall apart.
"We suggest a completely different approach. Instead of getting rid of noise, we use continuous real-time noise surveillance and adapt the system as changes in the environment happen," says Ph.D. Researcher at NBI Fabrizio Berritta, lead author on the study.
The new approach is possible thanks to recent developments in several high-tech fields.
"Previously, say 20 years ago, it would have been possible to visualize the fluctuations after the experiment, but it would have been too slow to utilize this information during the actual experiment. We use FPGA [field-programable-gate-array] technology to get the measurements in real time. And further, we use machine learning to speed up the analysis," explains Berritta.
"The whole idea is to get the measurements and do the analysis in the same microprocessor that adjusts the system in real time. Else, the scheme would not be fast enough for quantum computing applications."
A team of computer engineers from quantum computer maker Quantinuum, working with computer scientists from Microsoft, has found a way to greatly reduce errors when running experiments on a quantum computer. The combined group has published a paper describing their work and results on the arXiv preprint server.
Computer scientists have been working for several years to build a truly useful quantum computer that could achieve quantum supremacy. Research has come a long way, most of which has involved adding more qubits.
But such research has been held up by one main problem—quantum computers make a lot of errors. To overcome this problem, researchers have been looking for ways to reduce the number of errors or to correct those that are made before results are produced.
One of the companies working on reducing errors is Microsoft, and their chief focus has been on designing and using logical quantum bits through what they describe as "active syndrome extraction"—where a few logical qubits are created using multiple physical qubits. The system as a whole is described by the team as a qubit virtualization system.
https://www.space.com/quantum-computers ... -satellitepublished yesterday
By converting data into light particles and beaming them around the world using satellites, we could prevent encrypted messages from being intercepted by a superpowerful quantum computer, scientists claim.
Currently, messaging technology relies on mathematical, or cryptographic, methods of protection, including end-to-end encryption. This technology is used in WhatsApp — as well as by corporations, the government and the military — to protect sensitive data from being intercepted.
Encryption works by scrambling data or text into what appears to be nonsense, using an algorithm and a key that only the sender and recipient can use to unlock the data. These algorithms can, in theory, be cracked. But they are designed to be so complex that even the fastest supercomputers would take millions of years to translate the data into something readable.
Quantum computers change the equation. Although the field is young, scientists predict that such machines will be powerful enough to easily break encryption algorithms someday. This is because they can process exponentially greater calculations in parallel (depending on how many qubits they use), whereas classical computers can process calculations only in sequence.
Fearing that quantum computers will render encryption obsolete someday, scientists are proposing new technologies to protect sensitive communications. One field, known as "quantum cryptography," involves building systems that can protect data from encryption-beating quantum computers.
The full power of next-generation quantum computing could soon be harnessed by millions of individuals and companies, thanks to a breakthrough by scientists at Oxford University Physics guaranteeing security and privacy. This advance promises to unlock the transformative potential of cloud-based quantum computing and is detailed in a new study published in Physical Review Letters. The paper is titled "Verifiable blind quantum computing with trapped ions and single photons."
Quantum computing is developing rapidly, paving the way for new applications that could transform services in many areas like health care and financial services. It works in a fundamentally different way than conventional computing and is potentially far more powerful. However, it currently requires controlled conditions to remain stable and there are concerns around data authenticity and the effectiveness of current security and encryption systems.
