What is the future of generative AI compute?
— The future of generative AI compute involves embedding AI algorithms into the physics of the world to push the limits of density, spatial efficiency, and speed for AI, creating a full stack of software and hardware specifically designed for AI from first principles.
Thermodynamic computing has the potential to revolutionize AI and machine learning by harnessing thermal fluctuations for faster, more efficient, and lower power computing systems Questions to inspire discussion What is the future revolution in computing? —The future revolution in computing is harnessing thermal fluctuations for physics-based computing systems.
The path to quantum supremacy is complicated by a fairy tale challenge – how do you carry a cloud without changing its shape?
The potential solution sounds almost as fantastical as the problem. You could guide the cloud to dance as it travels, to the beat of a unique material known as a time crystal.
Krzysztof Giergiel and Krzysztof Sacha from Jagiellonian University in Poland and Peter Hannaford from Swinburne University of Technology in Australia propose a novel kind of ‘time’ circuit might be up to the task of preserving the nebulous states of qubits as they’re carried through tempests of quantum logic.
Scientists have produced a rare form of quantum matter known as a Bose-Einstein condensate (BEC) using molecules instead of atoms.
Made from chilled sodium-cesium molecules, these BECs are as chilly as five nanoKelvin, or about −459.66 °F, and stay stable for a remarkable two seconds.
“These molecular BECs open up an new research arenas, from understanding truly fundamental physics to advancing powerful quantum simulations,” noted Columbia University physicist Sebastian Will. “We’ve reached an exciting milestone, but it’s just the kick-off.”
A research team led by Academician Du Jiangfeng and Professor Rong Xing from the University of Science and Technology of China (USTC), part of the Chinese Academy of Sciences (CAS), in collaboration with Professor Jiao Man from Zhejiang University, has used solid-state spin quantum sensors to examine exotic spin-spin-velocity-dependent interactions (SSIVDs) at short force ranges. Their study reports new experimental findings concerning interactions between electron spins and has been published in Physical Review Letters.
The Standard Model is a very successful theoretical framework in particle physics, describing fundamental particles and four basic interactions. However, the Standard Model still cannot explain some important observational facts in current cosmology, such as dark matter and dark energy.
Some theories suggest that new particles can act as propagators, transmitting new interactions between Standard Model particles. At present, there is a lack of experimental research on new interactions related to velocity between spins, especially in the relatively small range of force distance, where experimental verification is almost non-existent.
Scientists have utilized a quantum annealer to simulate quantum materials effectively, marking a crucial development in applying quantum computing in material science and enhancing quantum memory device performance.
Physicists have long been pursuing the idea of simulating quantum particles with a computer that is itself made up of quantum particles. This is exactly what scientists at Forschungszentrum Jülich have done together with colleagues from Slovenia. They used a quantum annealer to model a real-life quantum material and showed that the quantum annealer can directly mirror the microscopic interactions of electrons in the material. The result is a significant advancement in the field, showcasing the practical applicability of quantum computing in solving complex material science problems. Furthermore, the researchers discovered factors that can improve the durability and energy efficiency of quantum memory devices.
Richard Feynman’s Legacy in Quantum Computing.
MIT physicists have developed a new form of graphene, creating a five-lane electron superhighway that allows for ultra-efficient electron movement without energy loss.
This breakthrough in rhombohedral pentalayer graphene could transform low-power electronic devices and operates via the quantum anomalous Hall effect at zero magnetic field.
MIT physicists and their collaborators have created a five-lane superhighway for electrons that could allow ultra-efficient electronics and more.
Quantum sensing can outperform classical sensing by placing the sensor in an initial state that optimally measures the target. However, choosing this optimal state requires having some preknowledge, such as knowing the orientation of a magnetic field in order to measure its strength. A new experiment overcomes this limitation using two entangled quantum bits (qubits), which are manipulated in a way that is equivalent to a qubit traveling back in time [1]. Through this “time travel,” the qubits can be placed in an optimal state without any preknowledge.
“Our work addresses a specific kind of problem that plagues many sensing setups: you have to know which direction to point the sensor,” explains Kater Murch from Washington University in St. Louis. When measuring a magnetic field with a spin qubit, for example, the spin’s rotation will return information about the field strength only if you point it in the optimal direction. Point it in a nonoptimal direction and you’ll get zero information about the field, wasting the measurement.
Murch and his colleagues have devised a protocol in which the probe qubit is entangled with a second qubit, called the ancilla. Following previous work, they show that the entanglement is mathematically equivalent to the ancilla traveling back in time to place the probe in an optimal state [2]. They further show that measuring the ancilla and the probe in a particular sequence can recover information about the field strength in all cases—so no measurement data are wasted as they can be in other protocols. The researchers foresee using this entanglement scheme in situations where a field—or another observable—is changing over time.
A new quantum-system-on-chip enables the efficient control of a large array of qubits, advancing toward practical quantum computing.
Researchers at MIT and MITRE have developed a scalable, modular quantum hardware platform, incorporating thousands of qubits on a single chip, promising enhanced control and scalability. Utilizing diamond color centers, this new architecture supports extensive quantum communication networks and introduces an innovative lock-and-release fabrication process to efficiently integrate these qubits with existing semiconductor technologies.
Quantum Computing Potential
Imagine being able to quickly solve extremely complex problems that might take the world’s most powerful supercomputer decades to crack. This is the promise of quantum computers.
