While gate model quantum computing holds immense promise for tomorrow, quantum annealing systems are solving complex optimization problems for enterprises today.
Category: quantum physics – Page 304
Waveguiding scheme enables highly confined subnanometer optical fields.
Researchers have pioneered a novel method for confining light to subnanometer scales. This development offers promising potential for advancements in areas such as light-matter interactions and super-resolution nanoscopy.
Advancements in Light Confinement Technology.
Australia-based Q-CTRL has officially announced that it will partner with the Australian military and AUKUS to develop GPS-free navigation using quantum sensors.
Australian quantum technology developer Q-CTRL has now officially partnered with Australia’s Department of Defence (DoD) and, by proxy, AUKUS partners to develop quantum sensors that will deliver quantum-assured navigation capability for military platforms. The program will use Q-CTRL’s “software-ruggedized” quantum sensing technology to enhance positioning and navigation.
Q-CTRL
Experts from CERN, DESY, IBM Quantum and others have published a white paper identifying activities in particle physics that could benefit from the application of quantum-computing technologies.
Last week, researchers published an important white paper identifying activities in particle physics where burgeoning quantum-computing technologies could be applied. The paper, authored by experts from CERN, DESY, IBM Quantum and over 30 other organizations, is now available as a preprint on arXiv.
With quantum-computing technologies rapidly improving, the paper sets out where they could be applied within particle physics in order to help tackle computing challenges related not only to the Large Hadron Collider’s ambitious upgrade program, but also to other colliders and low-energy experiments worldwide.
Vice President of AI & Quantum Computing, Paul Smith-Goodson dive into the strategic partnership between IoQ and QuantumBasel.
Science and Technology:
Hope that they find a medicine to cure aging and turn us immortal and able to live forever still during “our” lifetime.
Insilico Medicine, a clinical stage generative artificial intelligence (AI)-driven drug discovery company, today announced that it combined two rapidly developing technologies, quantum computing and generative AI, to explore lead candidate discovery in drug development and successfully demonstrated the potential advantages of quantum generative adversarial networks in generative chemistry.
The study, published in the Journal of Chemical Information and Modeling, was led by Insilico’s Taiwan and UAE centers which focus on pioneering and constructing breakthrough methods and engines with rapidly developing technologies—including generative AI and quantum computing —to accelerate drug discovery and development.
Over the past decades, physicists and engineers have been trying to develop various technologies that leverage quantum mechanical effects, including quantum microscopes. These are microscopy tools that can be used to study the properties of quantum particles and quantum states in depth.
Researchers at Silicon Quantum Computing (SQC)/UNSW Sydney and the University of Melbourne recently created a new solid-state quantum microscope that could be used to control and examine the wave functions of atomic qubits in silicon. This microscope, introduced in a paper published in Nature Electronics, was created combining two different techniques, known as ion implantation and atomic precision lithography.
“Qubit device operations often rely on shifting and overlapping the qubit wave functions, which relate to the spatial distribution of the electrons at play, so a comprehensive knowledge of the latter provides a unique insight into building quantum circuits efficiently,” Benoit Voisin and Sven Rogge, two researchers who carried out the study, told Phys.org.
Ark Invest, which is led by CEO Cathie Wood, has been pouring money into semiconductor stocks lately and has made another notable purchase. According to portfolio updates published by the firm yesterday, Wood’s company has increased its investment in Quantum-Si (QSI-6.20%) — a small-cap biotech with a specialized, chip-based platform for protein sequencing.
Ark Invest regularly publishes information about stocks that have been bought and sold for its exchange-traded funds (ETFs), and a recent update showed it purchased more than 1.4 million shares of Quantum-Si stock for its Ark Genomic Revolution ETF (ARKG-1.84%) on Thursday. The purchase would have been valued at roughly $3.7 million based on the stock’s price at market close yesterday, and is the largest investment that Ark has made in the healthcare-tech upstart’s stock so far.
So the question is: Why is Wood excited about this little-known life sciences player?
Researchers at the University of Science and Technology of China have managed to entangle a record 51 qubits. More importantly, the qubits weren’t just entangled in pairs, but as a single system, a re.
Gero, an AI-driven biotech focused on aging and longevity, has demonstrated the feasibility of applying quantum computing for drug design and generative chemistry, which now offers significant promise for the future of healthcare. The research, published in Scientific Reports, outlines how a hybrid quantum-classical machine-learning model was used to interface between classical and quantum computational devices with the goal of generating novel chemical structures for potential drugs—an industry first.
The research paper follows in the wake of recent advancements from Gero, which sparked vigorous discussion among longevity experts in the scientific community when a story was published in Popular Mechanics that asserted humans can stop—but not fully reverse—aging. Earlier this year, Gero announced a target discovery deal with Pfizer, whereby Gero’s machine-learning technology platform is being applied to discover potential therapeutic targets for fibrotic diseases using large-scale human data.
In this new line of research, the team explored whether a hybrid generative AI system—a deep neural network working in conjunction with commercially available quantum hardware—could suggest unique chemical structures that are synthetically feasible and possess drug-like properties.