Quantum Articles

Articles

Editorial guides, research briefs, and explainers that make quantum research easier to discover, understand, and revisit.

Latest Articles

36 published
A quantum computer connected to a probabilistic model predicting quantum system behavior from limited experimental measurements

How Can We Predict Complex Quantum Systems from Only a Few Experiments?

A new quantum Gaussian process framework shows how the behavior of unknown quantum channels can be predicted from limited measurements, including simulations of systems with up to 64 qubits and experiments on noisy quantum hardware.

Read article →
A clean scientific illustration of a quantum walk on a network, showing a central starting node connected to surrounding nodes with subtle wave interference paths, visually representing long term quantum return behavior and graph structure. No text, no fu

How Do We Measure Laziness in a Quantum Walk?

A new spectral analysis of quantum walks reveals how the structure of a graph controls long term return behavior, identifying the complete graph, star graph, and highly unbalanced double star as extremal structures.

Read article →
A scientific workspace featuring a chalkboard with quantum chromodynamics equations and SU(3) gauge theory diagrams, colored quark and gluon lattice models, a laptop displaying quantum circuit and time-evolution equations, and books on quantum field theor

How Can Quantum Computers Simulate the Strong Nuclear Force?

A detailed look at how quantum computers can simulate quantum chromodynamics (QCD), including the axial gauge approach, qubit requirements, Trotterization, quantum Fourier transforms, and the scaling of quantum gates.

Read article →
Neutral-atom quantum processor using nondestructive readout and atom reuse to achieve a 101 Hz quantum circuit iteration rate

How Did Neutral-Atom Quantum Computers Become Capable of Executing More Than 100 Circuits per Second?

A new neutral-atom quantum processor reaches a raw quantum circuit iteration rate of 101 Hz by combining nondestructive readout, atom reuse, photonic-chip-based detection, and real-time FPGA processing. The approach increases useful information throughput by more than an order of magnitude without replacing the underlying quantum hardware.

Read article →
Quantum network showing entanglement distillation and swapping between quantum nodes while quantum memories are affected by decoherence.

The Right Timing: How Distillation and Swapping Shape the Future of Quantum Networks

Quantum networks must carefully balance entanglement fidelity, memory decoherence, and operation timing. New research shows why delaying Entanglement Distillation or performing Entanglement Swapping earlier can improve the useful quantum information delivered through a network.

Read article →
Quantum measurement system illustrating a gentle measurement approach that extracts information from a quantum state while minimizing disturbance to the original state.

Can We Measure a Quantum State Without Destroying It?

Quantum measurements normally disturb the systems they probe. Gentle measurements offer a different approach, allowing useful information to be extracted while keeping the post-measurement state close to the original. New results establish optimal limits for estimating high-dimensional quantum states under this constraint and reveal a deep connection between quantum measurement, privacy, and information preservation.

Read article →
Quantum circuit showing heat transport between two thermal reservoirs through an LC oscillator, illustrating microwave photon heat transport and the comparison between Lindblad and circuit models.

How Does Heat Move Through Quantum Circuits?

A new study compares quantum and circuit-based approaches to heat transport by microwave photons, revealing when the Lindblad model is accurate and when stronger coupling requires more advanced methods.

Read article →
Quantum states represented by two connected quantum systems, illustrating how small changes in a quantum state affect the stability of quantum information.

How Stable Is Quantum Information When a Quantum State Changes?

Researchers have established a sharp mathematical limit on how much quantum conditional entropy can change when two quantum states are close, resolving an important open problem in quantum information theory.

Read article →
Illustration of quantum information flowing between two entangled quantum states, representing the mathematical limits of quantum conditional entropy and reliable quantum communication.

How Researchers Solved a Long-Standing Problem in Quantum Information Theory

Researchers have derived the exact mathematical limit for how much quantum conditional entropy can change between similar quantum states, solving a long-standing open problem with important implications for quantum computing, communication, and error correction.

Read article →
Conceptual illustration representing the fundamental limits of recovering quantum information after part of a quantum system is lost.

What Happens When Quantum Information Leaves No Trace?

Researchers have discovered that some quantum information becomes fundamentally unrecoverable after part of a quantum system is lost. The study introduces Ghost Information and establishes new theoretical limits for quantum state recovery.

Read article →
Illustration comparing quantum error correction in a quantum computer with distributed information processing in the human brain, highlighting their shared mathematical principles for protecting information from noise.

Can Quantum Error Correction Reveal How the Brain Protects Information?

A new study reveals remarkable mathematical similarities between quantum error correction and how the brain protects information, offering fresh insights for both quantum computing and neuroscience.

Read article →
Illustration of a photonic quantum computer using controlled physical noise to improve hybrid quantum neural network performance.

Can Quantum Noise Improve Quantum Machine Learning?

Researchers have shown that the physical noise naturally present in photonic quantum computers can sometimes improve the performance of hybrid quantum neural networks. By treating hardware imperfections as a native regularization mechanism instead of simply eliminating them, the study challenges one of the most fundamental assumptions in quantum computing.

Read article →