The fabric of spacetime is roiling with vibrating quantum fields, known as vacuum energy. It’s right there, everywhere we look. But could we ever get anything out of it?
Recently, quantum spin liquid signatures have been found in 3D systems. Here, using a combination of inelastic neutron scattering and calculations, the authors study the dynamic magnetic properties of a 3D quantum spin liquid candidate K2Ni2(SO4)3, identifying a spin liquid region in the theoretical phase diagram.
Some of these problems are as simple as factoring a large number into primes. Others are among the most important facing Earth today, like quickly modeling complex molecules for drugs to treat emerging diseases, and developing more efficient materials for carbon capture or batteries.
However, in the next decade, we expect a new form of supercomputing to emerge unlike anything prior. Not only could it potentially tackle these problems, but we hope it’ll do so with a fraction of the cost, footprint, time, and energy. This new supercomputing paradigm will incorporate an entirely new computing architecture, one that mirrors the strange behavior of matter at the atomic level—quantum computing.
For decades, quantum computers have struggled to reach commercial viability. The quantum behaviors that power these computers are extremely sensitive to environmental noise, and difficult to scale to large enough machines to do useful calculations. But several key advances have been made in the last decade, with improvements in hardware as well as theoretical advances in how to handle noise. These advances have allowed quantum computers to finally reach a performance level where their classical counterparts are struggling to keep up, at least for some specific calculations.
Quantum computing is in all likelihood the 21st century’s great computer revolution. What is IBM doing to make the quantum dream a reality?
A multi-institutional team of scientists in the United States, led by physicist Peng Wei at the University of California, Riverside, has developed a new superconductor material that could potentially be used in quantum computing and be a candidate “topological superconductor.”
The most recent email you sent was likely encrypted using a tried-and-true method that relies on the idea that even the fastest computer would be unable to efficiently break a gigantic number into factors.
Quantum computers, on the other hand, promise to rapidly crack complex cryptographic systems that a classical computer might never be able to unravel. This promise is based on a quantum factoring algorithm proposed in 1994 by Peter Shor, who is now a professor at MIT.
But while researchers have taken great strides in the last 30 years, scientists have yet to build a quantum computer powerful enough to run Shor’s algorithm.
The next step, says Esat, is to increase the new device’s magnetic field sensitivity by implementing more advanced sensing protocols based on pulsed electron spin resonance schemes and by finding molecules with longer spin decoherence times. “We hope to increase the sensitivity by a factor of about 1,000, which would allow us to detect nuclear spins at the atomic scale,” he says.
A holy grail for quantum sensing
The new atomic-scale quantum magnetic field sensor should also make it possible to resolve spins in certain emerging two-dimensional quantum materials. These materials are predicted to have many complex magnetic orders, but they cannot be measured with existing instruments, Heinrich and his QNS colleague Yujeong Bae note. Another possibility would be to use the sensor to study so-called encapsulated spin systems such as endohedral-fullerenes, which comprise a magnetic core surrounded by an inert carbon cage.
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A new approach to quantum computing — working with photons, or \.
A device that sorts photon states could lead to a basic component of an all-optical quantum computer.
Frankly, I think 100 years is too far to look into the future because we will see dramatic new scientific areas emerge 20 years from now. My grandfather immigrated to Israel in 1946 from Holland to be a Technion student in civil engineering.
At that time, civil engineering and mechanical engineering were the most prestigious fields you could study. Back then, the disciplines of science that I work in, like computer science and electrical engineering, did not even exist as separate fields.
In comparison, today progress happens even more quickly. This rapid progress is especially apparent in disciplines like quantum technologies and AI.
