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Atomic clocks are a class of clocks that leverage resonance frequencies of atoms to keep time with high precision. While these clocks have become increasingly advanced and accurate over the years, existing versions might not best utilize the resources they rely on to keep time.

Researchers at the California Institute of Technology recently explored the possibility of using quantum computing techniques to further improve the performance of atomic clocks. Their paper, published in Nature Physics, introduces a new scheme that enables the simultaneous use of multiple atomic clocks to keep time with even greater precision.

“Atomic clocks are decades old, but their performance improves every year,” Adam Shaw, co-author of the paper, told Phys.org.

Devices that exhibit electrical resonance, have a nominally infinite number of quantum levels.

Over the past few decades, quantum physicists and engineers have been trying to develop new, reliable quantum communication systems. These systems could ultimately serve as a testbed to evaluate and advance communication protocols.

Researchers at the University of Chicago recently introduced a new quantum communication testbed with remote superconducting nodes and demonstrated bidirectional multiphoton communication on this testbed. Their paper, published in Physical Review Letters, could open a new route towards realizing the efficient communication of complex quantum states in superconducting circuits.

Continue reading “Researchers demonstrate multi-photon state transfer between remote superconducting nodes” »

GHZ states are crucial for pushing the boundaries of quantum physics and enhancing quantum computing and communication technologies. However, they become increasingly unstable as more qubits are entangled, with past experiments demonstrating the challenges of preserving their unique properties amidst minor disturbances. By employing a discrete time crystal, the team was able to construct a “safe house” to protect the GHZ state, achieving a less fragile configuration of 36 qubits, compared to the previously unstable larger state that included up to 60 qubits.

The application of microwave pulses to the qubits not only induced their quantum properties to oscillate and form a time crystal but also minimized disturbances that would typically disrupt the GHZ state. This could mark the first practical use of a discrete time crystal, according to Biao Huang, Kavli Institute for Theoretical Sciences, University of Chinese Academy of Sciences.

Classical computers can sometimes outperform quantum computers thanks to new algorithms, challenging the idea that quantum always prevails.

NYU researchers have developed a new method that allows classical computers to perform certain tasks faster and more efficiently than quantum computers.

The researchers applied the higher resonant radio frequency, which prompted any normal, “hot” fermions in the liquid to ring in response. The researchers then could zero in on the resonating fermions and track them over time to create “movies” that revealed heat’s pure motion — a sloshing back and forth, similar to sound waves.

“For the first time, we can take pictures of this substance as we cool it through the critical temperature of superfluidity, and directly see how it transitions from being a normal fluid, where heat equilibrates boringly, to a superfluid where heat sloshes back and forth,” Zwierlein says.

The experiments mark the first time scientists have been able to image second sound directly and the pure motion of heat in a superfluid quantum gas. The researchers plan to extend their work to map heat’s behavior more precisely in other ultracold gases. Then, they say their findings can be scaled up to predict how heat flows in other strongly interacting materials, such as high-temperature superconductors and neutron stars.

Nuclear physicists have discovered gravity’s profound influence on the quantum scale, revealing the strong force’s distribution within protons for the first time. This groundbreaking research, combining historical theoretical insights with modern experimental data, offers unprecedented understanding of the proton’s internal dynamics and sets the stage for future discoveries in nuclear science.

Gravity’s influence is unmistakably evident throughout the observable universe. Its effects are observed in the synchronized orbits of moons around planets, in comets that deviate from their paths due to the gravitational pull of large stars, and in the majestic spirals of enormous galaxies. These magnificent phenomena highlight the role of gravity on the grandest scales of matter. Meanwhile, nuclear physicists are uncovering the significant contributions of gravity at the very smallest scales of matter.

New research conducted by nuclear physicists at the U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility is using a method that connects theories of gravitation to interactions among the smallest particles of matter to reveal new details at this smaller scale. The research has now revealed, for the first time, a snapshot of the distribution of the strong force inside the proton. This snapshot details the shear stress the force may exert on the quark particles that make up the proton. The result was recently published in Reviews of Modern Physics.

Matching quantum computing with Tensor networks, and varying then to get the data you need. It’s a good read, about 4 minutes and goes into more detail. Apparently there’s no errors like there is in quantum computing with some adjustments.

Quantum computing has long been celebrated for its potential to surpass traditional computing in terms of speed and memory efficiency. This innovative technology promises to revolutionize our ability to predict physical phenomena that were once deemed impossible to forecast.

The essence of quantum computing lies in its use of quantum bits, or qubits, which, unlike the binary digits of classical computers, can represent values anywhere between 0 and 1.

Continue reading “Quantum computing is outperformed by new type of traditional computing” »

Quantum computing has been hailed as a technology that can outperform classical computing in both speed and memory usage, potentially opening the way to making predictions of physical phenomena not previously possible.

Many see quantum computing’s advent as marking a paradigm shift from classical, or conventional, computing. Conventional computers process information in the form of digital bits (0s and 1s), while quantum computers deploy quantum bits (qubits) to store quantum information in values between 0 and 1.

Under certain conditions, this ability to process and store information in qubits can be used to design quantum algorithms that drastically outperform their classical counterparts. Notably, quantum’s ability to store information in values between 0 and 1 makes it difficult for classical computers to perfectly emulate quantum ones.

Reliable quantum gates are the fundamental component of quantum information processing. However, achieving high-dimensional unitary transformations in a scalable and compact manner with ultrahigh fidelities remains a great challenge.

To address this issue, scientists in China showcase the use of deep diffractive neural networks (D²NNs) to construct a series of high-dimensional quantum gates, which are encoded by the spatial modes of photons. This work, published in Light: Science & Applications, offers a new paradigm for quantum gate design using deep learning.

Quantum computing holds the promise of transforming our information processing methodologies, and at its core, reliable quantum logic gates play an essential role in quantum information processing.