Although the path ahead for quantum computing is anything but certain, our analysis suggests companies will have the resources needed to make continued progress.

Accelerating technological breakthroughs, increasing investment flows, start-up proliferation, and promises of capable quantum systems by 2030 signal it’s time for business leaders to begin planning their quantum-computing strategies.

Our latest Quantum Technology Monitor shows industry interest remains strong, China is upping its game, and talent shortages require attention.

Causal influences are at the core of any empirical science, the reason why its quantification is of paramount relevance for the mathematical theory of causality and applications. Quantum correlations, however, challenge our notion of cause and effect, implying that tools and concepts developed over the years having in mind a classical world have to be reevaluated in the presence of quantum effects. Here, we propose the quantum version of the most common causality quantifier, the average causal effect, measuring how much a target quantum system is changed by interventions on its presumed cause. Not only does it offer an innate manner to quantify causation in two-qubit gates but also in alternative quantum computation models such as the measurement-based version, suggesting that causality can be used as a proxy for optimizing quantum algorithms. Considering quantum teleportation, we show that any pure entangled state offers an advantage in terms of causal effects as compared to separable states. This broadness of different uses showcases that, just as in the classical case, the quantification of causal influence has foundational and applied consequences and can lead to a yet totally unexplored tool for quantum information science.

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The stunning experiment, which reconstructs the properties of entangled photons from a 2D interference pattern, could be used to design faster quantum computers.

Introduction: In the realm of modern technology, where data is king, signal processing emerges as the unsung hero that transforms raw data into valuable insights. From the subtle rhythms of heartbeats captured by medical devices to the intricate details of audio and image files, signal processing is

The proposed strategy relies on manipulating with high precision an unimaginably huge number of variables

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Can a solitaire version of the ancient game mancala lead to a breakthrough in quantum physics? Researchers think it may be possible.

Wave structure of 8000 beads with strings. Neko's Nebula is a work by artist Reuben Margolin. No AI, no AR, but a combination of old school analog engineering… | 21 comments on LinkedIn

Close your laptop lid and open it 1,000 years later to carry on your Baldur's Gate 3 save as if nothing had happened.

Join us as we delve into the foundations and vulnerabilities of Bitcoin, showcasing the power of cryptography in shaping the future of finance. Utilize

Machine learning is a field of artificial intelligence (AI) where computer models become experts in various tasks by consuming large amounts of data. This is instead of a human explicitly programming this level of expertise.

QC crypto-cracking coming in 5, 10, maybe 50 years, so act … now?

So this morning I thought to myself, "Okay, now I will actually try to study the LK99 question, instead of betting based on nontechnical priors and m…

Scientists at The University of Manchester's National Graphene Institute have discovered new physics in graphite through the application of twistronics, revealing a 2.5-dimensional mixing of surface and bulk states. The research opens new possibilities in controlling electronic properties in both 2D

In a breakthrough achievement, MIT researchers say they have successfully demonstrated control over quantum randomness for the first time.

While scientists are still trying to verify the advance, let's daydream out loud on how this potential breakthrough would shake up quantum.

Experts closing in on potentially identifying new force after surprise wobble of subatomic particle

Bismuth Telluride Valley doesn't quite have the same ring to it, but a new discovery may mean the end of silicon chips. After decades of using Bi2Te3 for its thermoelectric properties, researchers have discovered new properties of the material that paves the way for bismuth telluride chips constructed to power quantum computers.

Aggressive new US policies will be put to the test in 2023. They could ultimately fragment the global semiconductor industry.