Lifeboat Foundation

The energy generation site will be connected to the grid and power Google’s data centers in Nevada.

Houston-based US startup Fervo Energy has claimed that it has achieved “commercial scale” geothermal energy production from its Project Red demonstration site in northern Nevada. The site recently completed a 30-day well test, a standard for geothermal energy installations, a company press release said.

Geothermal energy is one of the sources of renewable power being explored as the world moves away from fossil fuels. Unlike wind and solar power plants, geothermal energy can be sourced around the clock and on demand to cater to increased energy needs.

This interface can bridge the gap between theory and experiment by allowing researchers to conduct real-time quantum-in-the-loop experiments.

Power grid equipment can now be interfaced with quantum computers! Power grids.

But, quantum computers offer hope as they can handle a large number of computations in a short amount of time. Quantum computing research is happening at light speed, and there is a potential for their use to optimize power grids.

Continue reading “Quantum-in-the-loop: A new interface that connects power grids and quantum computers” »

While gate model quantum computing holds immense promise for tomorrow, quantum annealing systems are solving complex optimization problems for enterprises today.

Experts from CERN, DESY, IBM Quantum and others have published a white paper identifying activities in particle physics that could benefit from the application of quantum-computing technologies.

Last week, researchers published an important white paper identifying activities in particle physics where burgeoning quantum-computing technologies could be applied. The paper, authored by experts from CERN, DESY, IBM Quantum and over 30 other organizations, is now available as a preprint on arXiv.

With quantum-computing technologies rapidly improving, the paper sets out where they could be applied within particle physics in order to help tackle computing challenges related not only to the Large Hadron Collider’s ambitious upgrade program, but also to other colliders and low-energy experiments worldwide.

Large language models like GPT-4 have taken the world by storm thanks to their astonishing command of natural language. Yet the most significant long-term opportunity for LLMs will entail an entirely different type of language: the language of biology.

One striking theme has emerged from the long march of research progress across biochemistry, molecular biology and genetics over the past century: it turns out that biology is a decipherable, programmable, in some ways even digital system.

DNA encodes the complete genetic instructions for every living organism on earth using just four variables—A (adenine), C (cytosine), G (guanine) and T (thymine). Compare this to modern computing systems, which use two variables—0 and 1—to encode all the world’s digital electronic information. One system is binary and the other is quaternary, but the two have a surprising amount of conceptual overlap; both systems can properly be thought of as digital.

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Over the past decades, physicists and engineers have been trying to develop various technologies that leverage quantum mechanical effects, including quantum microscopes. These are microscopy tools that can be used to study the properties of quantum particles and quantum states in depth.

Researchers at Silicon Quantum Computing (SQC)/UNSW Sydney and the University of Melbourne recently created a new solid-state quantum microscope that could be used to control and examine the wave functions of atomic qubits in silicon. This microscope, introduced in a paper published in Nature Electronics, was created combining two different techniques, known as ion implantation and atomic precision lithography.

“Qubit device operations often rely on shifting and overlapping the qubit wave functions, which relate to the spatial distribution of the electrons at play, so a comprehensive knowledge of the latter provides a unique insight into building quantum circuits efficiently,” Benoit Voisin and Sven Rogge, two researchers who carried out the study, told Phys.org.

Advantageously, the fabrication of OECTs, in particular of the conductive channel, is compatible with solution-based fabrication methods and additive manufacturing, enabling cost-efficient manufacturing and rapid prototyping on flexible substrates¹⁰. This opens new possibilities in terms of the combination of materials that can be used in the manufacturing of OECTs, in particular the use of degradable materials. Degradable electronics refer to electronic systems and components that can degrade in an environment of interest spontaneously, in a controlled amount of time, and without releasing byproducts that are harmful to that environment¹⁸. With concerning amounts of electronic waste being generated, as well as exploding numbers of connected Internet of Things (IoT) devices¹⁹, there is growing interest in transient electronic systems with a service life of a few days to a few months. Although advances have been made in the manufacturing of fully degradable functional devices, i.e. antennas²⁰, batteries²¹ and physical as well as environmental sensors^22,23, investigations into degradable biosensors remain relatively limited²⁴.

Advances have been made in proposing new materials for the OECT terminals, in particular the gate electrode, as its properties play a key role in modulating the transistor’s behavior. While Ag/AgCl gates offer the advantage of being non-polarizable, Au gates present little electrochemical activity in the range of voltages typical for OECT-based biosensing. Au and PEDOT: PSS gates have been explored for OECT-based biosensors, with the advantage of expanding the possibilities for bio-functionalizing the gate electrode^6,25. PEDOT: PSS gates and contacts have been investigated, simplifying notably their manufacturing²⁶. An all-PEDOT: PSS OECT was presented and shown to measure dopamine concentrations reliably and specifically²⁷. Various forms of carbon have also been investigated for the realization of gate electrodes for OECTs⁸. Activated carbon gates, for example, showed increased drain current modulation due to the large specific surface area of the carbon material⁹. Recently, screen-printed carbon-gated OECTs were shown to be suitable for the detection of uric acid after functionalization of the carbon gate with platinum and Uricase²⁸. Transient or recyclable materials such as paper²⁶ have been proposed as substrates for OECTs. Polylactic acid (PLA)²⁴ and Poly(lactic-co-glycolic acid)²⁹ (PLGA) have been studied as degradable substrates for OECTs³⁰, as well as diacetate cellulose³¹. These studies, however, relied on non-degradable contacts for the operation of the printed OECTs. More recently, Khan et al.³² proposed a fully printed OECT on cellulose acetate (CA) for the selective detection of glucose. The OECT is made of degradable materials and CA is a biocompatible material that is suitable as a substrate for transient biosensors.

In this work, we present disposable and biocompatible OECTs based on carbon, PEDOT: PSS and PLA as substrate. Challenges in the fabrication of transient electronic devices come from the low-temperature tolerance¹⁸ of biopolymeric substrates and reaching adhesion of the PEDOT: PSS channel material on the biopolymer³³, which is often deposited from an aqueous solution. A fully additive fabrication process is developed to address these challenges, leveraging screen and inkjet printing. The influence of the gate material choice, as well as the gate geometry, are studied, and these parameters are optimized for the fabrication of transient OECTs for ions and metabolite sensing. The transistor characteristics of the devices as well as their sensing behavior and reproducibility are characterized. Finally, the degradable OECTs are integrated with highly conductive transient zinc metal traces, which are of interest for interconnection with other degradable electronic circuits and could allow, for example, the wireless operation of the biochemical chemical sensors³⁴.

Ark Invest, which is led by CEO Cathie Wood, has been pouring money into semiconductor stocks lately and has made another notable purchase. According to portfolio updates published by the firm yesterday, Wood’s company has increased its investment in Quantum-Si (QSI-6.20%) — a small-cap biotech with a specialized, chip-based platform for protein sequencing.

Ark Invest regularly publishes information about stocks that have been bought and sold for its exchange-traded funds (ETFs), and a recent update showed it purchased more than 1.4 million shares of Quantum-Si stock for its Ark Genomic Revolution ETF (ARKG-1.84%) on Thursday. The purchase would have been valued at roughly $3.7 million based on the stock’s price at market close yesterday, and is the largest investment that Ark has made in the healthcare-tech upstart’s stock so far.

So the question is: Why is Wood excited about this little-known life sciences player?