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Enjoy today’s breakdown of news, research, events & jobs within quantum.

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IN TODAY’S ISSUE:

Tags: PQC ALGORITHMS

• The public’s been asking and the public responds: NodeQ and Terra Quantum release key resources for guiding the public sector to post-quantum cryptography

• Machine learning algorithm for predicting the synchronization of qubits

• Move over qDRIFT: qSWIFT reduces required gates for Hamiltonian simulation

• Plus, Quandela launches Quandela Cloud 2.0, PsiQuantum announces QREF and Bartiq, and a $10 million US grant to the University of Sydney Nano Institute

BRIEF BYTES

NEWS FOR THOSE IN A HURRY

• Quandela has launched Quandela Cloud 2.0. The updated platform offers advanced features like Exqalibur, AI-driven quantum fidelity enhancement, and the new 10-qubit processor, Altair. With developers, researchers, and quantum engineers in mind, Quandela Cloud 2.0 promises improved circuit construction, memory efficiency, and integration into existing data systems.

• The University of Sydney Nano Institute has been granted $10 million by the US government to develop advanced quantum error correction methods. This project, led by Professor Stephen Bartlett, will be focused on reducing errors in qubits alongside a collaboration with IBM scientists and IBM systems.

• D-Wave Quantum Inc. announced their participation at the Needham Technology, Media, and Consumer Conference on May 16, 2024. The discussion will focus on D-Wave's latest advancements and the practical impacts of their quantum computing solutions on businesses. Interested parties can watch the webcast live or access the archived version on D-Wave’s Investor Relations page.

• Business Finland's Quantum Computing Campaign is leading a delegation to Taiwan from May 7-9, 2024, to explore the region's quantum technology ecosystem and market opportunities. Attendees will include Finnish companies, research institutes, and universities interested in establishing collaborations in Taiwan's quantum sector, which plans to invest TWD 8 billion in quantum research from 2022 to 2026.

• IonQ released its “Letter to Stockholders” regarding previous years achievements. Milestones included are 35 algorithmic qubits and securing major contracts with the US Air Force and QuantumBasel. IonQ's future plans include a focus on scalability and speed with new technologies like photonic interconnects and barium qubits.

• PsiQuantum has introduced the Quantum Resource Estimation Format and the beta version of Bartiq, a quantum resource estimator for fault tolerant quantum algorithms. QREF serves as an open data format for FTQC algorithms while Bartiq automates the complex task of resource estimation. With this initiative, PsiQuantum seeks to address the industry's need for precise, reproducible tools and foster open innovation by integrating QREF and Bartiq into their quantum projects, with plans to fully launch Bartiq to the open-source community by Q3 2024.

TOP HEADLINES IN NEWS & RESEARCH

NEWS

Tags: PQC

PQC EFFORTS HAVE BOTH PRIVATE AND PUBLIC SECTORS BUSY INNOVATING

As quantum computing advances, the traditional cryptographic systems that secure our digital communications are facing unprecedented risks. Recognizing this emerging threat, the U.S. government enacted the "Quantum Computing Cybersecurity Preparedness Act" to mandate the transition of federal IT systems to post-quantum cryptography.

The National Institute of Standards and Technology is key to this transition. NIST is responsible for developing the cryptographic standards that establish a unified approach to cybersecurity that can resist quantum decryption techniques.

In the private sector, innovations are also underway to combat quantum threats. NodeQ just announced PQtunnel, a tool that assists both small and large enterprises in transitioning to quantum-resistant cryptography. Available in TLS and SSH variants, PQtunnel supports all NIST-standardized PQC algorithms.

Similarly, Terra Quantum has introduced TQ42 Cryptography, an open-source library featuring a suite of post-quantum algorithms designed for secure data transmission, storage, and authentication. This library is part of Terra Quantum's quantum-as-a-service ecosystem, which includes Quantum Keys-as-a-Service and Entropy-as-a-Service.

Both nodeQ's PQtunnel and Terra Quantum's TQ42 Cryptography are testaments to the proactive steps the quantum community at large are taking to ensure data remains secure in the face of quantum advancements. These tools not only support compliance with emerging federal standards but also provide businesses the ability to safeguard their digital assets against future quantum threats.

RESEARCH

Tags: ALGORITHMS

OVERVIEW OF PREDICTING THE ONSET OF QUANTUM SYNCHRONIZATION USING MACHINE LEARNING

The Brief Byte: Researchers have successfully used a machine learning algorithm to predict early synchronization events between two qubits in various open system models.

Breakdown:

• In the context of qubits, synchronization refers to the phenomenon where two qubits begin to show correlated behaviors or states spontaneously. Their synchronized behavior is valuable for the performance of quantum computing tasks because it ensures that operations across multiple qubits are coherently aligned. Machine learning is particularly suited for studying synchronization due to its ability to analyze complex, nonlinear dynamics and predict future states from data.

• The study considers three different models of open quantum systems: local, global, and collective. Each of these show distinct types of dissipation and interactions. This diversity allows the researchers to generalize the synchronization prediction across various physical setups. The k-nearest-neighbor algorithm is used to predict outcomes based on the proximity of data points.

• The machine learning model accurately predicted long-term synchronization behaviors, including antisynchronization and time-delayed synchronization, from short-term observations across various models while handling potential experimental errors such as measurement inaccuracies. The findings are valuable for quantum computing where understanding and controlling qubit synchronization can lead to more reliable and efficient quantum information processing. As a bonus, the method's ability to predict synchronization with few early-time data points reduces the experimental efforts required, making it practical for real-world applications.

RESEARCH

Tags: ALGORITHMS

OVERVIEW OF HIGH-ORDER RANDOMIZED COMPILER FOR HAMILTONIAN SIMULATION

The Brief Byte: In this study, researchers introduce qSWIFT, a high-order randomized algorithm for Hamiltonian simulation that reduces the number of required gates for high precision simulations compared to qDRIFT.

Breakdown:

• A key building block of quantum algorithms is the Hamiltonian simulation which allows for studying the properties of quantum many-body systems. Typically, Hamiltonian simulation is performed using methods such as Trotter-Suzuki decompositions and qDRIFT. But, they either require a high number of gates or have limitations in precision. qSWIFT is presented as a way to offer a more efficient gate count and improved precision compared to existing methods, making it more relevant for practical quantum computing applications where reduced resource requirements are ideal.

• qSWIFT only requires one ancilla qubit which simplifies its integration into existing quantum systems. The algorithm functions by simulating the time evolution of a quantum system more accurately with fewer gates by applying random unitary operations that are more efficient in resource usage. It was tested through numerical simulations with molecular Hamiltonians where it demonstrated reductions in gate requirements as compared to qDRIFT.

• The results indicate that qSWIFT outperforms existing methods like qDRIFT by up to 1000 times in terms of gate count for high precision. This reduction increases scalability and efficiency.

EVENTS

• Thurday, May 9 | Rigetti Computing conference call on Q1 2024 financial results

• Sunday, May 12 | Quantum Reliability: Circuit Susceptibility, Faults, and Integration Issues by Washington DC Quantum Computing Meetup

• Monday, May 13 | D-Wave conference call on Q1 2024 financial results

• Thursday, May 16 | Report on Quantum Computing in the Global South by the Centre for Quantum and Society

• Monday, May 20 | Stanford Responsible Quantum Technology Conference

• Now - May 31 | Register for Google/X-Prize Quantum Challenge

JOBS POSTED WITHIN LAST 24 HOURS

• ORAU Quantum Networks | Adelphi, MD

• ORAU Quantum Communication Researcher | Cleveland, OH

• ORAU Atomic Clocks and Quantum Sensors | Pasadena, CA

• Booz Allen Hamilton Quantum Optics & High-Energy Physics Consultant | Arlington, VA $67.7K - $154K

• SandboxAQ Principal Solution Architect | Remote

• Quantum Futures Photonic Integrated Circuits Engineer | California

• Google Systems Test Engineer, Quantum AI | Goleta, CA $142K - $211K

UNTIL TOMORROW.

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