UCL researchers have developed a groundbreaking technique using arsenic atoms in silicon that achieves a 97% success rate for single-atom placement (compared to phosphorus’s 70%), potentially solving quantum computing’s twin challenges of error rates and scalability through scanning tunneling microscopy hydrogen resist lithography.
A groundbreaking theory bridges quantum mechanics and general relativity by treating the spacetime metric as a quantum operator and introducing an entropy-based gravitational action that yields modified Einstein equations with an emergent cosmological constant, potentially explaining cosmic expansion and dark matter through a novel auxiliary “G-field.”
Harvard scientists have developed a groundbreaking photon router that creates an optical interface between light signals and superconducting microwave qubits, potentially solving a major quantum computing challenge by enabling different quantum systems to communicate efficiently without bulky wires, thus bringing distributed, fiber-optic-based quantum computers closer to reality.
Researchers have achieved a major quantum computing breakthrough by using a 56-qubit quantum computer to generate certifiably random numbers verified by classical supercomputers, marking a shift from theoretical quantum advantage to practical application with significant implications for cryptography, security, and fairness.
Princeton physicists accidentally discovered and directly visualized Hofstadter’s butterfly—a theoretical fractal pattern of electron energy levels predicted in 1976—using scanning tunneling microscopy on twisted bilayer graphene, revealing not only the long-sought fractal energy spectrum but also new quantum phenomena driven by electron interactions beyond Hofstadter’s original calculations.
Quantum convolutional neural networks successfully identify known quantum many-body scars with over 99% accuracy in simulations and 63% on IBM quantum hardware, while also discovering new non-thermal states that can be characterized as spin-wave modes of specific quasiparticles in complex quantum systems.
Lead halide perovskite quantum dots covered with stacked phenethylammonium ligands exhibit nearly non-blinking single photon emission with high purity (~98%) and extraordinary photostability (12+ hours), solving critical surface defect issues through π-π stacking interactions that create a stabilizing epitaxial ligand layer, enabling reliable room-temperature quantum emission for advanced computing and communication applications.
Researchers created a nanoscale ferroelectric moiré pattern using hexagonal boron nitride layers to generate a purely electrostatic potential that enhances Coulomb interactions in transition metal dichalcogenides, enabling optical detection of electron correlations and ordered states while opening pathways to explore exotic quantum phenomena like chiral layer-pseudospin liquids and kinetic magnetism.
Researchers from Chinese universities have revolutionized quantum computing by developing metasurfaces that generate and manipulate entangled photons more efficiently than traditional methods, potentially enabling smaller quantum computers and robust quantum networks.
Researchers achieved a groundbreaking advancement in photonic quantum computing by implementing a boosted Bell-state measurement with a success probability of 69.3%, significantly exceeding the conventional 50% limit and demonstrating a threefold improvement in photon-loss tolerance for fault-tolerant fusion-based quantum computing.
Recent experiments with superconductor-quantum dot hybrids demonstrate that contact-induced level broadening and hybridization effects in thermoelectric Cooper pair splitters lead to shifted resonances and parity reversal in thermoelectric current, revealing new avenues for harnessing nonlocal quantum correlations in solid-state systems through gate voltage control.
Quantum error correction experiments face a trade-off where unconditional qubit reset can theoretically double error tolerance during logical operations, but no-reset approaches perform better in practice when reset operations are slow or error-prone, prompting the development of novel syndrome extraction circuits to mitigate these limitations.
Researchers at China’s USTC have developed Zuchongzhi-3, a groundbreaking 105-qubit quantum computer that processes calculations 10^15 times faster than the most powerful supercomputers and one million times faster than Google’s latest quantum systems, marking a significant advancement in quantum supremacy.
A quantum photonics researcher who pioneered the miniaturization of cold atom trapping systems through integrated photonics at UC Santa Barbara, successfully developing the first photonic integrated 3D magneto-optical trap (PICMOT) that enables portable quantum technologies with applications in precision sensing, timekeeping, and quantum computing.
Researchers developed practical zero-noise extrapolation techniques for quantum annealing that successfully mitigate both thermal and non-thermal errors in quantum systems without additional qubit overhead, demonstrated through experiments on a transverse-field Ising spin chain that aligned well with theoretical predictions.
Researchers have achieved a breakthrough in quantum teleportation by using ancillary photonic states to surpass the 50% Bell-state measurement success probability limit of linear optics, demonstrating an impressive 69.71% acceptance rate with high fidelity (0.8677) on arbitrary input states from independent sources, representing the first practical implementation of Boosted Quantum Teleportation with significant implications for quantum repeaters, communications, and computation.
Researchers have demonstrated circuit-based leakage-detection units that nondestructively identify atom-loss errors in neutral-atom quantum computers with 93.4% accuracy, including a “swap” variant that exchanges data and ancilla atoms, enabling quantum information to potentially outlive individual atoms in the quantum register.
Researchers theoretically demonstrate that Floquet Majorana fermions in periodically driven topological superconductors create 4π-periodic Josephson currents with amplitudes that can be tuned by aligning chemical potentials with drive frequency harmonics, yielding a novel “Josephson Floquet sum rule.”
Researchers have achieved a breakthrough in quantum networking by creating a two-node system with multiple rare-earth ions per node that enables multiplexed entanglement distribution and multipartite state preparation, overcoming traditional single-qubit limitations and laying the groundwork for scalable quantum networks with applications in computing, communication, and sensing.
Time interfaces in materials with suddenly changing refractive indices create unique quantum optical phenomena including photon-pair production and destruction, tunable photon statistics, and opportunities for quantum state engineering.
Using machine learning-optimized quantum locking techniques, scientists have transformed the previously limiting nonlinear Zeeman effect in Earth-field magnetometers into a quantum advantage by stabilizing naturally occurring spin squeezed states, enabling measurements beyond the standard quantum limit.
The research introduces lossy quantum dimension reduction for stochastic process sampling that compresses memory requirements beyond current quantum and classical approaches while maintaining high-fidelity approximations for both Markovian and non-Markovian processes, with applications across numerous scientific fields.
Amazon Web Services has unveiled Ocelot, a groundbreaking quantum chip that uses cat qubits and bosonic quantum error correction to significantly reduce resource requirements, achieving bit-flip times approaching one second while requiring only one-tenth the resources of traditional approaches, potentially revolutionizing the path to commercially viable quantum computing.
IonQ is acquiring a controlling stake in quantum safe networking leader ID Quantique (IDQ) to strengthen its global quantum ecosystem, accelerate quantum networking development, and establish a strategic partnership with SK Telecom, with the acquisition expected to close in Q2 2025.
Researchers successfully benchmarked quantum gates up to 52 qubits using a character-average benchmarking protocol, achieving a 63.09% ± 0.23% fidelity for a 44-qubit parallel CZ gate while demonstrating that optimizing global gate fidelity, rather than individual gate fidelities, yields superior performance by accounting for inter-gate correlations.
Quantum Machines has raised $170 million in Series C funding, bringing its total to $280 million, as the company’s hybrid control technology for quantum computing systems gains widespread adoption across the industry during a breakthrough year marked by significant hardware and error correction advancements.
PQComb revolutionizes quantum information processing by employing parameterized quantum circuits to efficiently transform quantum processes, demonstrating significant improvements in resource efficiency and noise resilience while solving previously intractable problems in quantum unitary transformations.
Researchers from the University of Regensburg and the University of Michigan discovered that chromium sulfide bromide functions as a quantum “miracle material” capable of encoding information in multiple forms (charge, light, magnetism, and vibrations) while its unique magnetic properties confine excitons to single layers or lines, significantly extending quantum information longevity and potentially enabling rapid conversion between photon and spin-based quantum information.
A groundbreaking study from the University of Surrey reveals that time at the quantum level may flow in both directions, as researchers discovered a mathematical “memory kernel” in open quantum systems that maintains time symmetry even when considering energy dissipation into the universe, challenging our conventional understanding of time’s unidirectional nature.
Scientists at North Carolina State University have developed a groundbreaking light-driven method to precisely tune quantum dots’ optical properties through a microfluidic system, offering a faster, more energy-efficient, and sustainable alternative to traditional chemical modification techniques for applications in LEDs, solar cells, displays, and quantum technologies.