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Category: quantum physics – Page 5
Scientists develop new technique for capturing ultra-intense laser pulses in a single shot
Scientists at the University of Oxford have unveiled a pioneering method for capturing the full structure of ultra-intense laser pulses in a single measurement. The breakthrough, published in close collaboration with Ludwig-Maximilian University of Munich and the Max Planck Institute for Quantum Optics, could revolutionize our ability to control light-matter interactions.
This would have transformative applications in many areas, including research into new forms of physics and realizing the extreme intensities required for fusion energy research. The results have been published in Nature Photonics.
Ultra-intense lasers can accelerate electrons to near-light speeds within a single oscillation (or ‘wave cycle’) of the electric field, making them a powerful tool for studying extreme physics. However, their rapid fluctuations and complex structure make real-time measurements of their properties challenging.
Quantum simulation of chemical dynamics achieved for the first time
Researchers at the University of Sydney have successfully performed a quantum simulation of chemical dynamics with real molecules for the first time, marking a significant milestone in the application of quantum computing to chemistry and medicine.
Understanding in real time how atoms interact to form new compounds or interact with light has long been expected as a potential application of quantum technology. Now, quantum chemist Professor Ivan Kassal and Physics Horizon Fellow Dr Tingrei Tan, have shown it is possible using a quantum machine at the University of Sydney.
The innovative work leverages a novel, highly resource-efficient encoding scheme implemented on a trapped-ion quantum computer in the University of Sydney Nanoscience Hub, with implications that could help transform medicine, energy and materials science.
University of Sydney scientists have made a big step towards future design of treatments for skin cancer or improved sunscreen by modelling photoactive chemical dynamics with a quantum computer.
Control of spin qubits at near absolute zero provides path forward for scalable quantum computing
Developing technology that allows quantum information to be both stable and accessible is a critical challenge in the development of useful quantum computers that operate at scale. Research published in the journal Nature provides a pathway for scaling the number of quantum transistors (known as qubits) on a chip from current numbers under 100 to the millions needed to make quantum computation a practical reality. The result is enabled by new cryogenic control electronics that operate at close to absolute zero, developed at the University of Sydney.
Lead researcher Professor David Reilly from the University of Sydney Nano Institute and School of Physics said, “This will take us from the realm of quantum computers being fascinating laboratory machines to the stage where we can start discovering the real-world problems that these devices can solve for humanity.”
The paper is the result of industry cooperation between the University of Sydney and the University of New South Wales through the respective quantum tech spin-out companies Emergence Quantum and Diraq. Professor Reilly’s company, Emergence Quantum, was established this year to commercialize quantum control technologies and other advanced electronics like the chip presented in this Nature paper.
A magnetically levitated particle enables researchers to search for ultralight dark matter
Dark matter, although not visible, is believed to make up most of the total mass of the universe. One theory suggests that ultralight dark matter behaves like a continuous wave, which could exert rhythmic forces that are detectable only with ultra-sensitive quantum instrumentation.
New research published in Physical Review Letters and led by Rice University physicist Christopher Tunnell and postdoctoral researcher Dorian Amaral, the study’s first author and lead analyst, sees the first direct search for ultralight dark matter using a magnetically levitated particle.
In collaboration with physicists from Leiden University, the team suspended a microscopic neodymium magnet inside a superconducting enclosure cooled to near absolute zero. The setup was designed to detect subtle oscillations believed to be caused by dark matter waves moving through Earth.
A new approach to probing Landauer’s principle in the quantum many-body regime
Landauer’s principle is a thermodynamics concept also relevant in information theory, which states that erasing one bit of information from an information system results in the dissipation of at least a specific amount (i.e., kBTln2) of energy. This principle has so far been primarily considered in the context of classical computers and information processing systems.
Yet researchers at TU Vienna, the Freie Universität Berlin, the University of British Columbia, the University of Crete and the Università di Pavia recently extended Landauer’s principle to quantum many-body systems, systems made up of many interacting quantum particles.
Their paper, published in Nature Physics, introduces a viable approach to experimentally probe this crucial principle in a quantum regime and test theoretical predictions rooted in quantum thermodynamics.
New hybrid quantum–classical computing approach used to study chemical systems
Caltech professor of chemistry Sandeep Sharma and colleagues from IBM and the RIKEN Center for Computational Science in Japan are giving us a glimpse of the future of computing. The team has used quantum computing in combination with classical distributed computing to attack a notably challenging problem in quantum chemistry: determining the electronic energy levels of a relatively complex molecule.
The work demonstrates the promise of such a quantum–classical hybrid approach for advancing not only quantum chemistry, but also fields such as materials science, nanotechnology, and drug discovery, where insight into the electronic fingerprint of materials can reveal how they will behave.
“We have shown that you can take classical algorithms that run on high-performance classical computers and combine them with quantum algorithms that run on quantum computers to get useful chemical results,” says Sharma, a new member of the Caltech faculty whose work focuses on developing algorithms to study quantum chemical systems. “We call this quantum-centric supercomputing.”
Boson sampling finds first practical applications in quantum AI
For over a decade, researchers have considered boson sampling—a quantum computing protocol involving light particles—as a key milestone toward demonstrating the advantages of quantum methods over classical computing. But while previous experiments showed that boson sampling is hard to simulate with classical computers, practical uses have remained out of reach.
Now, in Optica Quantum, researchers from the Okinawa Institute of Science and Technology (OIST) present the first practical application of boson sampling for image recognition, a vital task across many fields, from forensic science to medical diagnostics. Their approach uses just three photons and a linear optical network, marking a significant step towards low energy quantum AI systems.
Smart amplifier cuts power consumption, paving way for more qubits and less decoherence
Quantum computers can solve extraordinarily complex problems, unlocking new possibilities in fields such as drug development, encryption, AI, and logistics. Now, researchers at Chalmers University of Technology in Sweden have developed a highly efficient amplifier that activates only when reading information from qubits. The study was published in the journal IEEE Transactions on Microwave Theory and Techniques.
Thanks to its smart design, it consumes just one-tenth of the power consumed by the best amplifiers available today. This reduces qubit decoherence and lays the foundation for more powerful quantum computers with significantly more qubits and enhanced performance.
Bits, which are the building blocks of a conventional computer, can only ever have the value of 1 or 0. By contrast, the common building blocks of a quantum computer, quantum bits or qubits, can exist in states having the value 1 and 0 simultaneously, as well as all states in between in any combination.