Ludovico Lami of QuSoft and the University of Amsterdam and Mark M. Wilde of Cornell have achieved a major breakthrough in the field of quantum computing by developing a formula that predicts the impact of environmental noise. This formula is critical in the creation of quantum computers that can wo.
How can flesh and blood brains give rise to pains and pleasures, dreams and desires, sights and sounds? Some believe this ‘hard problem’ of consciousness can never be solved. Can we expect any breakthroughs as the science of the mind progresses?
Our annual debate this year considers whether the problem of consciousness really is intractable. Our illustrious panel is neuroscientist Anil Seth and philosophers Louise Antony, Maja Spener and Philip Goff, with the BBC’s Ritula Shah chairing.
The Oxford Martin Programme on Bio-Inspired Technologies is investigating the possibility of making computers real.
We aim to develop a completely new methodology for overcoming the extreme fragility of memory. By learning how biological molecules shield fragile states from the environment, we hope to create the building blocks of future computers.
The unique power of computers comes from their ability to carry out all possible calculations in parallel.
As quantum advantage has been demonstrated on different quantum computing platforms using Gaussian boson sampling,1–3 quantum computing is moving to the next stage, namely demonstrating quantum advantage in solving practical problems. Two typical problems of this kind are computational-aided material design and drug discovery, in which quantum chemistry plays a critical role in answering questions such as ∼Which one is the best?∼. Many recent efforts have been devoted to the development of advanced quantum algorithms for solving quantum chemistry problems on noisy intermediate-scale quantum (NISQ) devices,2,4–14 while implementing these algorithms for complex problems is limited by available qubit counts, coherence time and gate fidelity. Specifically, without error correction, quantum simulations of quantum chemistry are viable only if low-depth quantum algorithms are implemented to suppress the total error rate. Recent advances in error mitigation techniques enable us to model many-electron problems with a dozen qubits and tens of circuit depths on NISQ devices,9 while such circuit sizes and depths are still a long way from practical applications.
The difference between the available and actually required quantum resources in practical quantum simulations has renewed the interest in divide and conquer (DC) based methods.15–19 Realistic material and (bio)chemistry systems often involve complex environments, such as surfaces and interfaces. To model these systems, the Schrödinger equations are much too complicated to be solvable. It therefore becomes desirable that approximate practical methods of applying quantum mechanics be developed.20 One popular scheme is to divide the complex problem under consideration into as many parts as possible until these become simple enough for an adequate solution, namely the philosophy of DC.21 The DC method is particularly suitable for NISQ devices since the sub-problem for each part can in principle be solved with fewer computational resources.15–18,22–25 One successful application of DC is to estimate the ground-state potential energy surface of a ring containing 10 hydrogen atoms using the density matrix embedding theory (DMET) on a trapped-ion quantum computer, in which a 20-qubit problem is decomposed into ten 2-qubit problems.18
DC often treats all subsystems at the same computational level and estimates physical observables by summing up the corresponding quantities of subsystems, while in practical simulations of complex systems, the particle–particle interactions may exhibit completely different characteristics in and between subsystems. Long-range Coulomb interactions can be well approximated as quasiclassical electrostatic interactions since empirical methods, such as empirical force filed (EFF) approaches,26 are promising to describe these interactions. As the distance between particles decreases, the repulsive exchange interactions from electrons having the same spin become important so that quantum mean-field approaches, such as Hartree–Fock (HF), are necessary to characterize these electronic interactions.
Quantum networking uses subatomic matter to deliver data in a way that goes beyond today’s fiber-optic systems. Amazon wants to grow diamonds which would be part of a component that lets the data travel farther without breaking down.
Pretty futuristic!
Amazon.com Inc. is teaming up with a unit of De Beers Group to grow artificial diamonds, betting that custom-made gems could could help revolutionize computer networks.
Continue reading “Amazon Looks to Grow Diamonds in Bid to Boost Computer Networks” »
Macromolecular information transfer can be defined as the process by which a coded monomer sequence is communicated from one macromolecule to another. In such a transfer process, the information sequence can be kept identical, transformed into a complementary sequence or even translated into a different molecular language. Such mechanisms are crucial in biology and take place in DNA→DNA replication, DNA→RNA transcription and RNA→protein translation. In fact, there would be no life on Earth without macromolecular information transfer. Mimicking such processes with synthetic macromolecules would also be of major scientific relevance because it would open up new avenues for technological applications (e.g. data storage and processing) but also for the creation of artificial life. In this important context, this minireview summarizes recent research about information transfer in synthetic oligomers and polymers. Medium-and long-term perspectives are also discussed.
Keywords: Artificial Translation; Molecular Replication; Precision Polymers; Sequence-Controlled Polymers; Template-Directed Synthesis.
© 2023 The Authors. Angewandte Chemie International Edition published by Wiley-VCH GmbH.
My latest Opinion piece:
I possibly cheated on my wife once. Alone in a room, a young woman reached out her hands and seductively groped mine, inviting me to engage and embrace her. I went with it.
Twenty seconds later, I pulled back and ripped off my virtual reality gear. Around me, dozens of tech conference goers were waiting in line to try the same computer program an exhibitor was hosting. I warned colleagues in line this was no game. It created real emotions and challenged norms of partnership and sexuality. But does it really? And who benefits from this?
Continue reading “Don’t Bash Digisexuality. For Some, It Brings Hope” »
Many experts in the industry predict the cost of quantum computing hardware will continue to decrease over time as the technology advances, making it more accessible to a broader range of businesses and organizations. In a recent talk, the CTO of the CIA Nand Mulchandani noted that the quantum industry is still very early and unit costs are still very high, as we are very much in the research and development stage.
In general, pricing concerns are sure to be influenced by several important factors, including how advanced discoveries in the sector are made, market demand for the technology and competition among quantum computing providers.
The Quantum Insider observes with a keen eye the market trends and technological narrative that is evolving as we speak. When thinking about the price of a quantum computer price in 2023, it’s worth considering the access method, the type of computer and usage requirements.
Can we connect human brains together? What are the limits of what we can do with our brain? Is BrainNet our future?
In science fiction movies, scientists’ brains are downloaded into computers and criminal brains are connected to the Internet. Interesting, but how does it work in real life?
Original title: The greedy brain.
Scientific journalist Rob van Hattum wondered what information we can truly get from our brain and came across an extraordinary scientific experience.
An experiment where the brains of two rats were directly connected: one rat was in the United States and the other rat was in Brazil. They could influence the brain of the other directly. Miguel Nicolelis is the Brazilian neurologist who conducted this experiment. In his book ‘Beyond Boundaries’ he describes his special experiences in detail and predicts that it should be possible to create a kind of BrainNet.
For Backlight, Rob van Hattum went to Sao Paulo and also visited all Dutch neuroscientists, looking for what the future holds for our brain. He connected his own brain to computers and let it completely be scanned, searching for the limits of reading out the brain.
Originally broadcasted by VPRO in 2014.
© VPRO Backlight July 2014
On VPRO broadcast you will find nonfiction videos with English subtitles, French subtitles and Spanish subtitles, such as documentaries, short interviews and documentary series.
VPRO Documentary publishes one new subtitled documentary about current affairs, finance, sustainability, climate change or politics every week. We research subjects like politics, world economy, society and science with experts and try to grasp the essence of prominent trends and developments.
Continue reading “Connecting Brains: The BrainNet — VPRO documentary” »
Researchers at the Institute for Quantum Optics and Quantum Information (IQOQI) in Vienna recently devised a universal mechanism to invert the evolution of a qubit with a high probability of success. This protocol, outlined in Physical Review Letters, can propagate any target qubit back to the state it was in at a specific time in the past.
The introduction of this protocol builds on a previous paper published in 2020, where the same team presented a series of time translating protocols that could be applied in uncontrolled settings. While some of these protocols were promising, in most tested scenarios their probability of success was found to be too small. In their new study, the researchers thus set out to create an alternative protocol with a higher probability of success.
“Our newly developed protocol inverts the unitary evolution of a qubit,” David Trillo, one of the researchers who carried out the study together with Benjamin Dive and Miguel Navascués, told Phys.org. “A qubit (or quantum bit) is a two-level quantum system that serves as the quantum equivalent of bits used in quantum computers. Any quantum system has some natural evolution in time that needs to be controlled or at least accounted for when designing physical processes around them (e.g., when building a quantum computer). Our protocol takes a qubit and outputs the same system, but in the state that it would be in if it had evolved backwards in time.”
