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Why D-Wave <b>Quantum</b> Inc.'s (QBTS) Stock Is Down 7.99% | AAII

Avoid the stress of overpaying for a stock or missing an opportunity by using the right tools and insights to evaluate D-Wave Quantum Inc. before investing. In this article, we go over a few key elements for understanding D-Wave Quantum Inc.’s stock price such as: - D-Wave Quantum Inc.’s current stock price and volume - Why D-Wave Quantum Inc.’s stock price changed recently - Upgrades and downgrades for QBTS from analysts - QBTS’s stock price momentum as measured by its relative strength About D-Wave Quantum Inc. (QBTS) Before we jump into D-Wave Quantum Inc.’s stock price, history, target price and what caused it to recently dip, let’s take a look at some background. D-Wave Quantum Inc. engages in the development and delivery of quantum computing systems, software, and services worldwide. It provides Advantage and Advantage 2 quantum computers; Ocean, a suite of open-source tools; and Leap quantum cloud service, a cloud-based service that provides real-time access to quantum computers and quantum hybrid solvers; and secure access and data protection services, as well as Ocean software development kit (SDK), a Python-based SDK for developers to learn and build applications on company’s server. The company also provides Leap hybrid solver service that offers a combination of quantum and classical computation resources and advanced algorithms to solve problems of enterprise scale; and D-Wave Launch, a phased approach to identify and build in-production quantum hybrid applications, including training sessions and quantum computing access. In addition, the company offers D-Wave Advantage annealing quantum computing systems; and Ocean developer tools. Its quantum solutions are used in allocation, resource scheduling, factory scheduling, vehicle routing, logistics optimization, drug discovery, industrial construction design, portfolio optimization and maintenance, repair, and overhaul optimization. D-Wave Quantum Inc. was founded in 1999 and is based in Palo Alto, California. Want to learn more

<b>Quantum computers</b> are coming for crypto. The industry is racing to prepare | Ctech

Quantum computers are coming for crypto. The industry is racing to prepare Blockchain networks built on decades-old cryptography face a potential existential threat as developers begin planning a costly and complex security overhaul. The cryptocurrency industry is beginning to prepare for a new and potentially existential challenge: the possibility that quantum computers could eventually break the cryptographic systems that protect digital assets, transactions and wallets. Quantum computers are designed to solve certain complex mathematical problems far faster than today’s most advanced conventional computers. If the technology reaches the required level of capability, it could undermine traditional encryption methods that secure digital information, posing a major risk to the roughly $2 trillion global cryptocurrency market, which relies on blockchain networks protected by decades-old cryptography. While practical quantum computers capable of breaking current encryption remain experimental, concerns have intensified following recent advances in the field. Research from Google, one of several technology companies developing quantum systems, suggested that the timeline for such attacks could be shorter than previously believed. Google has said that quantum computers capable of breaking encryption could arrive by 2029, whereas previously many experts expected such capabilities to remain at least a decade away. Research from Citigroup and other institutions has also suggested that advances in quantum computing, alongside breakthroughs in artificial intelligence, are accelerating the timeline in which cryptocurrencies could become vulnerable to attacks. Recognizing the broader national security implications of quantum technology, U.S. President Donald Trump recently issued executive orders aimed at strengthening American quantum capabilities. Some cryptocurrency companies and blockchain developers are already preparing plans to upgrade their networks with quantum-resistant cryptography, a potentially years-long process that could require significant changes to the infrastructure underlying digital assets. “It’s the most direct and existential threat towards cryptocurrencies and crypto networks,” said Chris Tam, head of quantum innovation

Atom <b>Computing's</b> Kristen Pudenz: Error Correction Is Bringing <b>Quantum's</b> Future Into Focus

Quantum computing may be getting closer to solving one of its biggest challenges. According to Atom Computing’s Kristen Pudenz, advances in scaling are making practical error correction possible, opening a path toward fault-tolerant systems and utility-scale quantum computing. Pudenz, vice president of research programs at Atom Computing, has been tracking that shift for much of her career. She began her doctorate in 2008, when utility-scale quantum computing still felt like a distant possibility. Today, she sees a clearer path forward. The reason, she says, comes back to two themes: scaling and error correction. “They relate intimately to one another. The scaling that is happening allows error correction to begin to be implemented at a useful level,” Pudenz said in a recent interview with MeriTalk. “I think that’s a really exciting moment for quantum computing.” “People should be taking quantum technology very seriously right now,” Pudenz said. “Now is when the rubber meets the road.” Scaling makes error correction possible Error correction has long been viewed as a prerequisite for practical quantum computing. Quantum systems are highly sensitive to noise and errors, making it difficult to run complex calculations reliably. Until recently, however, many quantum platforms lacked the scale necessary to implement error correction in a meaningful way. That is beginning to change, according to Pudenz. “What error correction gives to the quantum user community, why people should care about error correction, is that it means that the applications that you put on the quantum computer can go all the way,” Pudenz said. “They can go all the way to the promise of utility-scale quantum computing.” The shift has significant implications for organizations already exploring quantum applications. Rather than developing algorithms that eventually run into hardware limitations, users can begin designing software with future fault-tolerant systems in mind. Pudenz said that

Adiabatic preparation of thermal states and entropy-noise relation on noisy <b>quantum computers</b>

Abstract We consider the problem of preparing thermal equilibrium states at finite temperature on quantum computers. Assuming thermalization, we show that states that are locally at thermal equilibrium can be prepared by evolving adiabatically an initial thermal Gibbs state of a simple Hamiltonian with an interpolating time-dependent Hamiltonian, identically to adiabatic ground state preparation. We argue that the entropy density of local density matrices is conserved during the adiabatic evolution in the thermodynamic limit, so that both the entropy and energy of the final state can be computed, and thus the final temperature too. We show that in the presence of hardware noise, the entropy created by the noisy evolution can be precisely benchmarked with mirror circuits. We give numerical evidence that the resulting thermal state preparation protocol is noise-resilient for depolarizing noise, in the sense that the energy-temperature curve measured on a noisy quantum computer is remarkably insensitive to the amplitude of depolarizing noise in the state preparation. We finally propose a protocol to estimate the lack of adiabaticity in a given actual Trotter implementation of the dynamics. We test our protocol on Quantinuum’s H1-1 ion-trap device. We measure that a circuit with 640 two-qubit gates implemented on hardware generates an entropy per site of 0.166 ± 0.0045, giving a benchmark metric for this state preparation. We report the preparation of a thermal state with temperature 2.56 ± 0.26 of the Ising model in size 5 × 4. Similar content being viewed by others Introduction The simulation of materials and condensed matter systems is expected to be one of the first applications of quantum computers1,2. While low-entanglement ground state physics can be studied classically in a number of cases albeit with extensive numerical effort3,4,5, any settings that involve higher-excited states is considerably more challenging to classical computers. This includes

<b>Quantum</b> error correction can constantly recalibrate a processor

There are some obvious big picture issues that stand between us and useful quantum computing. Issues like whether we can make enough high-quality hardware qubits to connect into the error-corrected logical qubits we need, and how we generate the states needed to perform universal computation on those logical qubits. But there are also many less prominent challenges that will need to be solved before we can perform calculations. One of those challenges, which only affects some types of hardware, is calibration. For devices we manufacture, like superconducting qubits, there are always subtle variations among individual qubits. (This is not true when we use something like an atom to hold the qubit, but the lasers that control them can drift.) As a result, this hardware is put through a process called calibration, where we test different frequencies and amplitudes of the microwave pulses that control them to find the combination that produces the lowest error rates, and then save those settings for use in calculations. However, you can’t perform the typical calibration process while you’re doing calculations, which means drift becomes an issue for long and complicated algorithms. Google, though, has figured out that it’s possible to do calibration using the same data that’s used for error correction. Reinforcement learning The hardware that Google and a number of other companies rely on are transmons. They consist of a loop of superconducting wire connected to a resonator, and they’re controlled by pulses of microwave photons. Those pulses are controlled by hardware that is kept outside of the refrigeration, including classical computers and the microwave sources they control. This hardware is used to test different combinations of wavelengths and amplitudes during calibration.

'High risk, high reward' researchers awarded Star-Friedman funding | Harvard FAS

Eric Moskowitz Harvard Staff Writer Harvard Staff Writer Pictured above, left to right: Kiyoul Yang, Assistant Professor, Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS); Giulia Semeghini, Assistant Professor of Applied Physics, SEAS; Xing Fan, Assistant Professor of Physics; Victoria D’Souza, Professor of Molecular and Cellular Biology; Doeke Hekstra, Associate Professor of Molecular and Cellular Biology, Associate Professor of Applied Physics, SEAS; donor James A. Star ’83; donor Josh Friedman ’76, M.B.A. ’80, J.D. ’82; Mahmoud Mikdar (research associate representing Professor Manoj Duraisingh, John LaPorte Given Professor of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health); Ahmad “Mo” Khalil, Hok Lam and Kathleen Kam Wong Professor of Bioengineering, SEAS, Professor of Molecular and Cellular Biology; Maxim Prigozhin, Assistant Professor of Molecular and Cellular Biology and of Applied Physics, SEAS; Kathy Liu (front; graduate student representing Joanna Aizenberg, Amy Smith Berylson Professor of Materials Science, SEAS, Professor of Chemistry and Chemical Biology); Donhee Ham John A. and Elizabeth S. Armstrong Professor of Engineering and Applied Sciences, SEAS (rear); Chenghua Gu, Professor of Neurobiology, Harvard Medical School; Quan Lu, Cecil K. and Philip Drinker Professor of Environmental Physiology, Harvard T.H. Chan School of Public Health; selection committee chair Michael Desai. The 2026 Star-Friedman Challenge grants will support seven “high risk, high reward” projects pursued by Harvard researchers, including engineering red blood cells to patrol the body as disease detectors, designing microchip-sized lasers for molecular experiments and quantum computing, and developing tactile-sensing “skins” to help robots achieve more human-like touch in assisting with senior care, surgery, or disaster recovery. “I’m really struck by the ambition and range of the work,” said Hopi Hoekstra, Edgerley Family Dean of the Faculty of Arts and Sciences, at a University Hall celebration for the winners and their projects. “It really reflects

NASA is creating a fifth state of matter on the ISS, thanks to an upgrade to a mini-fridge-sized ...

NASA is creating a fifth state of matter on the ISS, thanks to an upgrade to a mini-fridge-sized quantum lab A new set of upgrades to the International Space Station’s Cold Atom Laboratory is allowing NASA to probe quantum mechanics at the coldest possible temperatures while in zero gravity. A new upgrade to the International Space Station's (ISS) quantum laboratory is enabling NASA to probe the behavior of atoms further than ever before, the space agency has announced. Combining the ISS's newly upgraded "Cold Atom Laboratory" with the near zero-gravity of low Earth orbit, scientists are attempting to understand the properties of so-called "ultracold" atoms in an environment impossible to replicate on Earth. The aim of the mission is to study how clouds of atoms behave at temperatures close to absolute zero (minus 459.67 degrees Fahrenheit or minus 273.15 degrees Celsius) — the coldest possible temperature in the universe, where atoms lose all their energy of motion. "At the coldest temperatures, matter behaves drastically different from anything we have experienced," Jason Williams, project scientist for the Cold Atom Lab at NASA’s Jet Propulsion Laboratory in Southern California, which built the facility, said in a statement. "The wavelike nature of matter dominates, and ultracold matter can behave in ways that are not only unexpected, but that also enable extremely precise measurements of time, gravity, and motion. The lab has lots of tools — especially with this latest upgrade — to let us probe the nature of the universe." Rule-breaking particles Atoms and their subatomic particles are quantum mechanical objects whose behavior is fundamentally different from that of the large-scale world. For example, the laws of quantum mechanics predict that particles can be in more than one place at the same time (quantum superposition); can be mysteriously linked with each other over

Trump's <b>Quantum</b> Leap: U.S. looks to build <b>quantum</b> supercomputer amid AI race

President Donald Trump wants the U.S. to build and rollout a new quantum supercomputer and for the Pentagon, NASA and other agencies to deploy quantum sensors systems Trump’s order calls for updates to U.S. strategies and policies to “supercharge” quantum technology advancements. “The order establishes a national effort to develop the first ever quantum computer powerful enough to initiate the era of quantum-enabled scientific discovery and accelerate quantum capabilities for commercial applications,” according to the White House. Quantum computers aim to solve highly complex problems by using the properties of tiny particles, like atoms, to process information, according to the National Science Foundation (NSF). “Unlike classical computers that process information using bits (0s and 1s), quantum computers employ qubits, which use the principles of quantum physics — the science of how matter and energy behave at the tiniest scales — to represent information in entirely new ways,” according to NSF. “Qubits can exist in a superposition of multiple states, meaning they can be in state 0, state 1, or a mix of the two…This combination of superposition and entanglement enables quantum computers to perform numerous calculations in parallel, dramatically increasing computing power and making them potentially capable of solving problems that are far too complex for classical computers.” Quantum computing, entanglement, and sensors could spur next generation pharmaceuticals, medical research as well as defense and security applications. The quantum efforts will also be coordinated across agencies including the Pentagon, intelligence agencies and NASA. Trump wants NASA and the U.S. military to deploy quantum-enabled sensors and networks in the next five years, according to the White House. Quantum computing can also be partnered with artificial intelligence (AI) machine learning models and applications. After Trump announced the order, the White House and other U.S. agencies posted images of the U.S. president with

Swiss regulator urges banks to prepare for <b>quantum</b> era

Swiss regulator urges banks to prepare for quantum era The Swiss Financial Market Supervisory Authority (FINMA) is calling on banks to do more to address the risk posed by powerful quantum computers. Quantum computing could breach current cryptographic systems, putting communications, customer data and financial transactions at risk. A survey carried out between November 2025 and January 2026 among 60 financial institutions has revealed that companies are aware of the risks posed by quantum computers, FINMA said. However, there is generally a lack of a clear roadmap and sufficiently forward-looking planning for the migration to secure encryption. “FINMA has identified a need for action in risk management at numerous institutions,” the regulator stated. In a communication to those concerned, the supervisory authority has outlined various measures to mitigate the risks. More Vontobel warns that Switzerland must avoid ‘over-regulation’ + How we produce English news Translated from Italian, reviewed by an English Department journalist. External Content In compliance with the JTI standards More: SWI swissinfo.ch certified by the Journalism Trust Initiative You can find an overview of ongoing debates with our journalists here . Please join us! If you want to start a conversation about a topic raised in this article or want to report factual errors, email us at english@swissinfo.ch.

Scientists fit vibrating <b>quantum</b> memory inside 0.3-inch <b>computer</b> chip

Quantum chip just 0.3 inches long stores memory through tiny mechanical vibrations The device uses superconducting qubits to process data, while mechanical resonators serve as quantum working memory. Read Next: US firm launches modular sodium-ion battery to power data centers and utilitiesSwiss researchers have developed a new type of quantum computer chip that stores data using tiny mechanical vibrations rather than conventional electromagnetic memory. The revolutionary device was created by researchers at ETH Zurich. It reportedly swaps traditional quantum memory for microscopic mechanical resonators. These are microscopic structures that vibrate in different ways to hold information. The approach also introduces a computer architecture inspired by today’s digital computers that separates processing and memory. “Our quantum chip contains tiny components that start to vibrate when storing information,” Yiwen Chu, PhD, a professor of hybrid quantum systems at ETH Zurich, said. The team believes that the concept could overcome one of quantum computing’s greatest challenges: building compact and reliable systems that could store large amounts of quantum data. To reach millions of qubits, quantum computers must overcome size, heat, and other complex electronic bottlenecks. Inside the chip In ETH Zurich’s model, processing and memory and separated. A superconducting qubit acts as the processor. This is similar to the central processing unit (CPU) in a conventional computer. Meanwhile, quantum information is temporarily stored inside mechanical resonators that serve as a form of quantum working memory. More from Science See AllRather than storing information electromagnetically, the resonators encode data through tiny vibrations. During a computation, the qubit retrieves information stored in a vibration, performs calculations, and writes the updated information back into the vibrating memory. According to Chu and her team, the idea resembles the strings of a guitar. These can vibrate at different frequencies to produce different notes. Meanwhile, in the quantum chip,

LUMI AI Factory to deploy IQM Halocene H4 <b>quantum computer</b> in Finland in 2027

The LUMI AI Factory, led by CSC – IT Center for Science (CSC), a Finnish center of expertise in ICT, is gearing up to deploy a Halocene H4 quantum computer that will be integrated into the LUMI data center in Kajaani, Finland. It has selected IQM Quantum Computers (IQM), a European quantum computing hardware and software company, to deliver the system, named LUMI-IQ in 2027. According to a press release, LUMI-IQ will use IQM Halocene H4 technology, and it will include a 150-qubit quantum processing unit, with further upgrades planned to increase performance and the number of logical qubits. The quantum computer will be integrated with the LUMI supercomputer environment to support research using quantum computing, artificial intelligence (AI), and high-performance computing (HPC). The system will allow LUMI AI Factory users to develop and test quantum error correction methods and explore hybrid computing approaches. Jan Goetz, CEO and Co-founder, IQM Quantum Computers, said, “Delivering IQM Halocene to CSC means Europe’s most powerful quantum computer will sit at the heart of one of the world’s leading research computing environments. This is a milestone for IQM, CSC, for Finland, and for the European quantum ecosystem.” Kimmo Koski, Managing Director of CSC – IT Center for Science, said, “As part of the LUMI AI Factory, LUMI-IQ will bring together world-leading AI, data, high-performance computing and quantum acceleration in one powerful hybrid environment. By connecting quantum concepts and algorithms with intelligent software tools and real-world applications, it will open new possibilities for scientific discovery and RDI, from materials and health to energy and fundamental science.” Mikael Johansson, Manager for Quantum Technologies at CSC – IT Center for Science, said, “Already the first system delivered in 2027 will come with a state-of-the-art quantum processing unit (QPU) with 150 qubits. LUMI-IQ will evolve into a fault-tolerant

Time to believe the <b>quantum computing</b> hype?

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Xanadu Expands U.S. Operations With New York State Office

Xanadu expands U.S. operations with New York State office July 9, 2026 by CM Staff Xanadu says it has scaled up operations across the U.S., with growth in the San Francisco Bay Area as well as a distributed presence across the country spanning 19 states. Talking Points Xanadu Quantum Technologies Limited, a photonic quantum computing firm, announced on July 9 its expansion in the U.S., focusing on Albany, New York. The company has increased operations in the San Francisco Bay Area and across 19 states, expecting significant workforce growth by year-end. - Xanadu's expansion reflects rising demand for quantum computing. - CEO Dr. Christian Weedbrook emphasized the importance of strategic partnerships in the semiconductor and technology sectors. - The U.S. presence will enhance R&D and manufacturing capabilities, aiming to develop fault-tolerant quantum systems. This expansion is crucial as it positions Xanadu to leverage established supply chains, ultimately accelerating innovation in quantum computing technology. TORONTO — Xanadu Quantum Technologies Limited, a photonic quantum computing company, announced an expansion of its U.S. operations on July 9, anchored by a growing presence in Albany, New York. In a July 9 press release Xanadu says it has scaled up operations across the U.S., with growth in the San Francisco Bay Area as well as a distributed presence across the country spanning 19 states, with anticipation of its U.S.-based workforce to increase significantly by the end of this year. “The demand for quantum computing has never been higher and our rapid growth in the United States is a testament to the talent and strategic partnerships we have built across the semiconductor and technology industries to help meet those demands,” said Dr. Christian Weedbrook, Founder and Chief Executive Officer of Xanadu. “By co-locating with key partners, we are working to ensure rapid response times and close-knit

Fort Lewis College is making <b>quantum computing</b> and nanotechnology big with use of grant

Fort Lewis College is making quantum computing and nanotechnology big – at least, metaphorically. The college, which was given a portion of a $127 million federal and state Elevate Quantum Tech Hub workforce development programming grant in 2024, held its second quantum computing and nanotech workshop this week for high school and FLC undergraduate students – one of several initiatives the grant has made possible. The grant has also funded future research projects at FLC, compensated student positions in the nano lab, and made possible the purchase of an optical tweezer device – a laser system that traps and moves microscopic particles using light. Jeff Jessing, professor of physics and engineering at Fort Lewis College, said nanotechnology studies and quantum computing – and, by extension, the work being done at the FLC nano lab – can have a significant impact on the world. “This emerging technology, if it comes to fruition, probably will change the world … like dramatically change the world,” he said. Quantum computing has the potential to impact a range of fields by helping the design of new medications through molecular studies or optimizing supply chains for companies, according to the National Institute of Standards and Technology. The FLC nano lab includes a range of high-tech, high level machinery, including microscopes; a Denton vacuum, used to vaporize materials to coat substrates such as silicon wafers with a thin layer of metal or other substances; and a tube furnace, used to grow thin oxides and to introduce impurities or dopants that affect the conductivity inside silicon – all devices that are impressive for a rural college to have, Jessing said. “Most people in Durango have no idea that we have these facilities here,” he said. “... Southwest Colorado is kind of isolated from the rest of the state

How Hyperscale Infrastructure, Sovereign AI And <b>Quantum Computing</b> Redefine Enterprise Strategy

Erdem Erkul, Founder and Chairman of Cerebrum Tech. Data centers were once seen as a storage area. Now, these data centers are the heart of today’s digital economy. This shift marks a broader, more profound transformation. Data centers, sovereign AI and quantum computing are no longer isolated technological developments; instead, they are deeply interconnected pillars of a unified infrastructure paradigm that is actively reshaping how nations exercise geopolitical power and how organizations build, maintain and compete for long-term market dominance. Data center development has become an important driving force behind global investments. At this point, capital is trying to set a new goal for itself. Big investors are putting their money into data centers and AI infrastructure instead of old businesses. For corporate executives and boardrooms, this represents a critical strategic shift: Compute capacity is no longer an operational line-item expense handled by IT departments; it is a foundational pillar of corporate strategy, risk management and long-term competitiveness. The Physical Backbone: From Storage To Hyperscale Compute To understand this new race, we must look at how data centers are changing and examine the rapid evolution of data center design. In the past, traditional data centers only needed to keep simple web pages or smartphone applications running. They were like libraries that held static information. But today, AI requires a different kind of building. We call these new facilities "hyperscale data centers." They do not just store information; they actively think, analyze and create new content every second. Inside these modern buildings, thousands of specialized processors work together at incredible speeds to train neural networks and generate human-like answers. This new reality means that the physical size and the brainpower of our digital infrastructure are growing together. Within these facilities, thousands of specialized processors work in dense parallel clusters to train

Going beyond encryption, Malaysia rolls out <b>quantum</b> cryptography sandbox to safeguard ...

PUTRAJAYA, July 9 — Malaysia has launched a strategic framework to shield the nation from future cyber threats posed by quantum computing, introducing the National Post-Quantum Cryptography Migration Plan and the Malaysia Quantum Cryptography Sandbox. Prime Minister Datuk Seri Anwar Ibrahim noted the urgency of these initiatives, saying that Malaysia must rapidly adapt as cyber threats grow increasingly sophisticated. “We are introducing new concepts such as the National Cryptography Policy and our cryptography action plans. These were not things we discussed years ago because the challenges we face today are entirely different,” he said. Anwar said that the breakneck pace of technological change leaves the country with no choice but to master artificial intelligence, cryptography, and other emerging fields to ensure national security. “If we want the country to remain safe, we must master these new fields of knowledge. There is no other choice,” he added. The prime minister also highlighted that cyber threats transcend national borders, necessitating tighter international cooperation. He noted that diplomatic discussions with regional leaders now routinely integrate AI, drones, and digital border security alongside traditional defence priorities. The initiatives were unveiled during the launch of National Security Month at the Cyber Defence and Security Exhibition and Conference (CYDES) 2026 in Putrajaya. National Security Council director-general Datuk Raja Nushirwan Zainal Abidin explained that these measures are part of a broader effort to harden government systems against the next generation of digital threats. The migration plan and sandbox are designed to build a robust national cryptography ecosystem, preparing Malaysia for an era where quantum computers could potentially compromise the majority of today’s encryption methods. Nushirwan stated that these initiatives complement the Malaysia Cyber Security Strategy 2025-2030, which employs a whole-of-nation approach by uniting government agencies, industry, academia, and the public to bolster cyber resilience. As a testament

Three LSU <b>Computer</b> Science Faculty Members Receive NSF Awards Totaling More Than ...

Three LSU Computer Science Faculty Members Receive NSF Awards Totaling More Than $1.3 Million July 09, 2026 Three faculty members in the LSU Division of Computer Science and Engineering have received National Science Foundation (NSF) awards totaling more than $1.3 million to advance research in quantum computing, cybersecurity, and artificial intelligence, further strengthening LSU Engineering's position as a national leader in emerging technologies. Assistant professors Umar Farooq, Phani Vadrevu, and Tasnuva Farheen will lead projects that address some of the most pressing challenges facing the nation's digital infrastructure, from protecting computer systems against future quantum cyberattacks to disrupting online scams and building more resilient quantum communication networks. "These awards demonstrate the exceptional talent we've recruited to LSU and the growing national recognition of our faculty's research," said Ibrahim Baggili, chair of LSU's Division of Computer Science and Engineering. "Collectively, these projects address critical challenges in cybersecurity and quantum technologies while creating new opportunities for student training and innovation." Preparing Computer Systems for the Quantum Era Farooq received a five-year, $506,020 NSF CAREER Award, one of the nation's most prestigious honors for early-career faculty, to develop tools that help organizations prepare for the arrival of quantum computers. Quantum computers are expected to break many of today's cryptographic systems, threatening the security of banks, hospitals, power grids, and other critical infrastructure. Upgrading federal computer systems alone is expected to cost billions of dollars before a 2035 deadline. Farooq's project will develop three integrated tools: a Quantum-Readiness Index to identify cryptographic risks hidden within software, a Cryptographic-Dependence Graph to map how vulnerable code affects surrounding systems, and an AI-driven migration pipeline to automate the transition to quantum-resistant cryptography while minimizing disruption. The CAREER Award also supports new curriculum and student training in post-quantum software engineering, an emerging workforce need. Farooq joined LSU in

D-Wave Quantum vs. Rigetti Computing: Which <b>Quantum Computing</b> Stock Is a Better Buy in 2026?

Key Points - D-Wave Quantum leads in commercial quantum annealing and recently expanded into gate-model systems through an acquisition. - Rigetti Computing maintains a vertically integrated approach, designing its own chips and focusing on modular, superconducting architectures. - Which speculative quantum player offers the most compelling opportunity for investors looking to the next decade? As the race for quantum supremacy intensifies, investors are weighing the commercial momentum of D-Wave Quantum(NYSE:QBTS) against the specialized architecture of Rigetti Computing(NASDAQ:RGTI) to decide which is the better buy. Both companies are pioneers in the quantum space, yet they pursue different technical paths to reach quantum advantage. While D-Wave focuses on solving optimization problems today, Rigetti is building general-purpose quantum computers designed for broad future applications across diverse industries. The case for D-Wave Quantum D-Wave Quantum specializes in quantum annealing, a specific type of computing designed to solve complex optimization problems such as logistics and manufacturing schedules. The company delivers these services through its Leap cloud platform, serving over 100 organizations including NASA and the Oak Ridge National Laboratory. Following the acquisition of Quantum Circuits Inc. in early 2026, the company now offers a dual-platform strategy that incorporates gate-model computing alongside its established annealing technology. In its 2025 fiscal year (FY), revenue reached $24.6 million, representing a significant revenue growth of 178.5% compared to the prior year. Despite this rapid top-line expansion, the company reported a net loss of $355.1 million for the period. This trend reflects the high costs of scaling emerging technologies in the quantum computing sector, which remains highly competitive. As of its December 2025 balance sheet, the company maintained a debt-to-equity ratio of 0.1x. This ratio measures total debt against shareholder equity, with a lower number indicating that a company is not heavily reliant on borrowed funds. The current ratio stands