All Research

Millisecond lifetimes and coherence times in 2D transmon qubits

NatureNature·
Read the paperDOI: 10.1038/s41586-025-09687-4

TL;DR

Imagine a qubit is like a tiny, spinning top. Its spin holds special quantum information. The problem is that this top is incredibly wobbly and easily disturbed by the 'table' it's sitting on. The slightest vibration or imperfection in the table can make it fall over and lose its information. This is called 'decoherence'. Scientists have been searching for the perfect material for this table. This research discovered that using a super-pure silicon wafer as the table, instead of the more common sapphire, makes the top spin for a much, much longer time. A longer spin time means we can perform more calculations before the qubit forgets what it's doing, which is essential for a working quantum computer.

Materials improvement is a powerful approach to reducing loss and decoherence in superconducting qubits, because such improvements can be readily translated to large-scale processors. Recent work improved transmon coherence by using tantalum as a base layer and sapphire as a substrate1. The losses in these devices are dominated by two-level systems with comparable contributions from both the surface and bulk dielectrics2, indicating that both must be tackled to achieve substantial improvements in the state of the art. Here we show that replacing the substrate with high-resistivity silicon markedly decreases the bulk substrate loss, enabling 2D transmons with time-averaged quality factors (Qavg) of 9.7 × 106 across 45 qubits. For our best qubit, we achieve a Qavg of 1.5 × 107, reaching a maximum Q of 2.5 × 107, corresponding to a lifetime (T1) up to 1.68 ms. This low loss also allows us to observe decoherence effects related to the Josephson junction, and we use an improved, low-contamination junction deposition to achieve Hahn echo coherence times (T2E) exceeding T1. We achieve these materials improvements without any modifications to the qubit architecture, allowing us to readily incorporate standard quantum control gates. We demonstrate single-qubit gates with 99.994% fidelity. The tantalum-on-silicon platform comprises a simple material stack that can potentially be fabricated at the wafer scale and therefore can be readily translated to large-scale quantum processors.

  • 1Replacement of sapphire with high-resistivity silicon in qubits markedly decreased bulk substrate loss.
  • 2Achieved time-averaged quality factor (Qavg) of 9.7 × 10^6 across 45 qubits.
  • 3Maximum qubit lifetime (T1) reached up to 1.68 ms with high fidelity of 99.994%.
  • 4Retention of qubit architecture while incorporating standard quantum control gates.
  • 5Potential for fabrication at wafer scale enabling large-scale application.
Nature Neuroscience·

Adversarial AI reveals mechanisms and treatments for disorders of consciousness

Imagine your brain is like a city with millions of roads and traffic systems. When you're awake and conscious, traffic flows in complex, coordinated patterns. In a coma, something has gone wrong — but we've never had a great way to figure out exactly which roads are broken or how to fix them. This study built a very smart AI that learned to tell the difference between 'awake brain' and 'coma brain' by studying hundreds of thousands of brainwave recordings. Then, like a detective, the AI was pitted against a simulated model of the brain to figure out: what changes in the brain's wiring would explain the difference? The AI figured out — on its own, without being told — that two key things go wrong in a coma: a specific circuit deep in the brain (called the basal ganglia indirect pathway) gets disrupted, and the brain's 'braking system' (inhibitory neurons) starts working too hard in the wrong places. The researchers then checked these predictions against real patient data, and both checked out. The AI also suggested that zapping a specific deep brain region with high-frequency electrical pulses might help wake people up — and early evidence from human patients supports this idea.

Disorders of consciousness
Artificial Intelligence
Nature·

Gene conversion empowers natural selection in a clonal fish species

Unfortunately, the content of this research abstract could not be accessed due to paywall restrictions. Without being able to read the actual findings about gene conversion in clonal fish species, I cannot provide an accurate explanation of what the researchers discovered or why it matters.

Science Advances·

Direct detection of an asteroid’s heliocentric deflection: The Didymos system after DART

NASA crashed a spacecraft into an asteroid moon called Dimorphos in 2022, and scientists have now measured that this impact actually nudged the entire asteroid system slightly off its path around the Sun. This is the first time humans have measurably changed how a celestial body orbits the Sun, proving that we can potentially deflect dangerous asteroids heading toward Earth.

Nature Astronomy·

The dynamics of AMPA receptors underlies the efficacy of ketamine in treatment resistant patients with depression

Think of your brain as having billions of tiny locks and keys. One particular lock — called the AMPA receptor — sits on brain cells and helps them talk to each other using the chemical glutamate. In people with hard-to-treat depression, this study found that those locks are less plentiful than normal, especially in emotional brain regions. When doctors gave these patients ketamine, it actually changed how many of those locks were available on the cell surface — and the bigger that change was, the better the patient felt. So ketamine isn't just temporarily numbing pain; it appears to be physically restoring a broken communication system in the brain. The scientists confirmed this by using a special brain scan (PET scan) with a radioactive tracer that literally glows where those AMPA receptor locks are located, letting them count them in real time in living people.

treatment-resistant depression
ketamine