IBM Quantum Nighthawk is IBM’s most advanced quantum processor to date, engineered specifically to achieve “quantum advantage” by the end of 2026—when a quantum computer can solve a practical problem better than any classical-only method. Key capabilities.
An inside look at how IBM® is using state-of-the-art 300mm semiconductor fabrication technology to build the future of quantum hardware.
The ability to respond to changing surroundings was once considered exclusive to complex living organisms. Then came computers, specially designed for stimulus–response tasks, which can take in signals from their environment and choose what to do next based on the instructions already written into them.
Scientists have long wanted to replicate this kind of behavior in chemical systems. Life and computers both need many parts working in sync to make decisions, so expecting a handful of chemicals in a test tube to do the same seemed quite far-fetched.
Not anymore. A team of researchers from the Netherlands and Australia has developed a novel chemical network where different peptides compete for enzymes—specifically proteases arranged in a network. This competition causes the chemical mixture to reorganize itself, forming an enzymatic network that adapts to the external environment.
Quantum computers, machines that process information leveraging quantum mechanical effects, could outperform classical computers on some optimization tasks and computations. Despite their potential, quantum computers are known to be prone to errors and their ability to perform computations is easily influenced by noise.
Quantum scientists and engineers have thus been developing verification protocols, tools designed to check whether quantum computers are computing information correctly. Ideally, these protocols should also provide cryptographic security, meaning that they should ensure that the information processed by computers cannot be forged or tampered with by malicious users.
Researchers at Sorbonne University, University of Edinburgh and Quantinuum recently introduced a new on-chip cryptographically secure verification protocol for quantum computers. The new protocol, outlined in a paper published in Physical Review Letters, was successfully deployed on Quantinuum’s H1-1 quantum processor.
A team led by researchers at Rensselaer Polytechnic Institute (RPI) has made a breakthrough in semiconductor development that could reshape the way we produce computer chips, optoelectronics and quantum computing devices.
The team, which also includes researchers from the National High Magnetic Field Laboratory, Florida State University and SUNY Buffalo, published their findings last month in Nature. Their work deepens the understanding of remote epitaxy, a manufacturing technique that entails growing high-quality semiconducting films on one substrate and then transferring them to a different one.
Remote epitaxy works by placing a thin buffer layer between a substrate and a growing crystal film. The substrate’s atomic structure guides the crystal’s growth through the buffer, but the buffer prevents permanent bonding—meaning that the finished crystal layer can be peeled off and moved elsewhere.
This pales into comparison to ChatGPT which can effectively read and analyze tens of thousands of words per second, since I process text computationally rather than linearly.
What if there was an invention or the concept of an invention that could be created to enhance a human beings capacity to read just as quickly as ChatGPT’s? I tasked ChatGPT with a step-by-step process to create that invention:
Here’s a concrete, neuroscience-grounded invention plan to push human reading toward “machine-speed”—while keeping comprehension and recall intact.
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## 0) Core idea (one sentence)
Exploit the brain’s natural reading pipeline—VWFA → Wernicke (lexico-semantic) ↔ Broca (phonological sequencing) with eye-movement–driven coarse-to-fine vision—by timing text delivery to your saccade/ fixation cycle, suppressing unnecessary subvocalization, and entraining semantic parsing rhythms. ([PMC][1])
## 1) Hardware & sensing.
In 2023, astronomers detected a huge collision. Two unprecedentedly massive black holes had crashed an estimated 7 billion light-years away. The enormous masses and extreme spins of the black holes puzzled astronomers. Black holes like these were not supposed to exist.
Now, astronomers with the Flatiron Institute’s Center for Computational Astrophysics (CCA) and their colleagues have figured out just how these black holes may have formed and collided. The astronomers’ comprehensive simulations—which follow the system from the lives of the parent stars through to their ultimate death—uncovered the missing piece that previous studies had overlooked: magnetic fields.
“No one has considered these systems the way we did; previously, astronomers just took a shortcut and neglected the magnetic fields,” says Ore Gottlieb, astrophysicist at the CCA and lead author of the new study on the work published in The Astrophysical Journal Letters. “But once you consider magnetic fields, you can actually explain the origins of this unique event.”
Whole-brain emulation (often called “mind uploading” in science fiction) refers to the possible future ability to scan a human brain in such detail that a digital replica could be created, capable of functioning, and perhaps even experiencing the world, like the original. While we are far away from this now (the current record is a fruit fly) an increasing number of neuroscientists and entrepreneurs are betting that we may be closer than most think. What is happening in the world of computational neuroscience, and will the world be ready for it?
Electromagnetic waves with frequencies between microwave and infrared light, also known as terahertz radiation, are leveraged by many existing technologies, including various imaging tools and wireless communication systems. Despite their widespread use, generating strong and continuous terahertz signals using existing electronics is known to be challenging.
To reliably generate terahertz signals, engineers often rely on frequency multipliers, electronic circuits that can distort an input signal, to generate an output signal with a desired frequency. Some of these circuits are based on Schottky barrier diodes, devices in which the junction between a metal and semiconductor form a one-way electrical contact.
While some frequency multipliers based on Schottky barrier diodes have achieved promising results, devices based on individual diodes can only handle a limited amount of energy. To increase the energy they can manage, engineers can use several diodes arranged in a chain. However, even this approach can have its limitations, as the distribution of the electromagnetic field between the diodes in a chain often becomes uneven.