Researchers at the University of Tokyo developed two hybrid quantum systems—an electron-superconducting circuit and an electron-ion coupled system—that successfully demonstrated control over trapped electrons’ temperature and movement, potentially solving key limitations in qubit stability for quantum computing.
A research team has developed an efficient method to measure high-dimensional qudits (advanced versions of qubits that can hold more information and are more noise-resistant) encoded in quantum frequency combs on a single optical chip, marking a significant advancement for quantum networks and communication systems.
A groundbreaking collaboration between the University of Michigan and the University of Regensburg has captured electron movement at the attosecond scale (one quintillionth of a second) using a novel two-pulse light system, potentially enabling quantum computing speeds up to a billion times faster than current capabilities while providing crucial insights into many-body physics.
Physicists have discovered how to switch topological states on and off in a strongly correlated metal using magnetic fields, a breakthrough made possible by the collective behavior of electrons that dramatically amplifies the material’s response to external magnetic fields and could enable new applications in quantum computing and sensor technology.
researchers at Tampere University discovered that quantum light behaves differently from classical light when focused, exhibiting an accelerated Gouy phase anomaly that not only contributes to the ongoing debate about fundamental optical phenomena but also promises enhanced precision in distance measurements.
Researchers from Paderborn and Ulm Universities have developed the first programmable optical quantum memory that can dynamically switch between storage, interference, and release modes, enabling the efficient particle-by-particle creation of entangled quantum states—a breakthrough that outperforms previous methods and brings practical quantum technology applications significantly closer to reality.
Engineers have substantially extended the time that their quantum computing processors can hold information by more than 100 times compared to previous results.
Researchers have engineered a record number of six, silicon-based, spin qubits in a fully interoperable array. Importantly, the qubits can be operated with a low error-rate that is achieved with a new chip design, an automated calibration procedure, and new methods for qubit initialization and readout.
Researchers in quantum technology have succeeded in developing a technique to control quantum states of light in a three-dimensional cavity. In addition to creating previously known states, the researchers are the first ever to demonstrate the long-sought cubic phase state. The breakthrough is an important step towards efficient error correction in quantum computers.
Researchers trained a machine learning tool to capture the physics of electrons moving on a lattice using far fewer equations than would typically be required, all without sacrificing accuracy.
VQSE is a variational quantum algorithm that efficiently extracts eigenvalues and eigenvectors of density matrices using only n qubits per iteration by exploiting the connection between diagonalization and majorization, with applications in principal component analysis and error mitigation.
Quantum researchers have demonstrated a method for encoding vastly more information into a single photon, opening the door to even faster and more powerful quantum communication tools. Read More Quantum Computers News — ScienceDaily
Researchers have demonstrated how a nanoscale layer of superconducting niobium nitride (NbNx) can be grown directly onto aluminum nitride (AIN). The arrangement of atoms, nitrogen content, and electrical conductivity were found to depend on growth […]
Millions of quantum bits are required for quantum computers to prove useful in practical applications. But this is still a long way off. One problem is that the qubits have to be very close to […]
Researchers have established fundamental theoretical bounds on quantum error mitigation techniques, proving that certain performance limitations are unavoidable physics constraints rather than technological shortcomings, with sampling overhead scaling exponentially with circuit depth for local depolarizing noise and confirming the optimality of probabilistic error cancellation for mitigating local dephasing noise.
Across the world, specialists are working on implementing quantum information technologies. One important path involves light: Looking ahead, single light packages, also known as light quanta or photons, could transmit data that is both coded […]
This research demonstrates a groundbreaking implementation of three-qubit Fredkin and Toffoli gates on a programmable quantum photonic chip, overcoming previous limitations of pre-entangled input states and bulk optics systems by using controlled Mach-Zehnder interferometers to enable independent input photons, marking a significant advance toward scalable quantum processors.
The researchers developed MBP (Memory-effect Belief Propagation), an enhanced version of traditional belief propagation that incorporates memory effects and neural network-like inhibition functionality, enabling efficient decoding of highly degenerate quantum error-correcting codes with significantly improved performance, achieving error thresholds of 16% and 17.5% for surface and toric codes respectively.
Researchers theoretically demonstrate how spin-orbit coupled Bose-Einstein condensates in optical cavities can generate topological optical transparencies with Dirac cones and edge-like states, potentially advancing quantum computation through enhanced light-matter interactions that exhibit phase transitions controllable via Raman detuning and atomic damping.
esearchers have developed a differentiable, gradient-based optimization method that jointly optimizes both quantum device design parameters and control protocols in a unified framework, demonstrating its effectiveness on superconducting qubit systems.
Research shows that spinning quasiparticles, or magnons, light up when paired with a light-emitting quasiparticle, or exciton, with potential quantum information applications.
A novel architecture has been proposed for implementing high-fidelity deterministic quantum logic gates using photonic qubits that are dual-rail encoded.
Scientists have presented a contraction strategy that makes use of the exact light cone structure of the tensor network representing the observables.
A groundbreaking experimental study validates both the previously tested quadratic (D2 + V2 ≤ 1) and theoretically predicted linear forms of wave-particle duality relations through asymmetric beam interference and photon polarization measurements, revealing that the quadratic form yields more path information and advancing our understanding of these fundamental quantum principles.
Researchers demonstrated a novel method to generate and control one-way quantum steering between photon and magnon modes in a non-Hermitian cavity magnonic system by leveraging the cooperative effects of coherent and dissipative coupling, achieving robust quantum correlations that can be precisely controlled through the relative phase of cooperative dissipation and magnon mode frequency detuning.