Friday, September 13th, 2024

Enjoy a nice cup of freshly brewed quantum news ☕️ 

Today’s issue includes:

• A recent analysis from the Quantum Insider projects that the global quantum computing market will add over $1 trillion to the global economy between 2025 and 2035.

• Researchers developed the quantum high-frequency Floquet simulation (QHiFFS) algorithm to simulate large-scale periodically driven quantum systems.

• A method using an integrating sphere successfully mitigates scattering in quantum systems.

• Plus, an analysis on education requirements for the quantum workforce, a new error mitigation technique that may outperform traditional methods, GraphDD for more efficient dynamical decoupling, and more.

And even more research, news, & events within quantum.

🔬 Researchers Develop QHiFFS Algorithm for Efficient Large-Scale Quantum Simulations on Near-Term Hardware

QUICK BYTE: Researchers from Friedrich-Alexander Universität, Max-Planck Institute for the Science of Light, Los Alamos National Laboratory, and others developed the quantum high-frequency Floquet simulation (QHiFFS) algorithm to simulate large-scale periodically driven quantum systems.

DETAILS: 

• The QHiFFS algorithm for simulating fast-driven quantum systems on near-term quantum hardware uses a kick operator to transform the system into a time-independent effective Hamiltonian.

• The algorithm was tested on Quantinuum's trapped ion quantum computer to simulate the biaxial next-nearest neighbor Ising model with 20 qubits, showing that QHiFFS reduces computational overhead compared to standard Trotterization.

• QHiFFS exhibited a cubic advantage in driving frequency and a linear advantage in simulation time, making it applicable for near-term quantum devices, particularly in handling large-scale periodic simulations.

• The use of this algorithm could open up new possibilities for simulating complex, periodically driven quantum systems, and exploring new quantum phases and criticality in strongly correlated electron systems.

💸 New Analysis Reports Quantum Computing Market to Add Over $1 Trillion to Global Economy by 2035

QUICK BYTE: A recent analysis from the Quantum Insider projects that the global quantum computing market will add over $1 trillion to the global economy between 2025 and 2035, with vendors capturing $50 billion in revenue, while contributing to economic growth, job creation, and industry expansion in key regions such as the USA, UK, Germany, and China.

DETAILS: 

• The Quantum Insider's new analysis projects that quantum computing could add over $1 trillion to the global economy between 2025 and 2035, with vendors expected to generate $50 billion in revenue during this period.

• The report identifies finance, defense, life sciences, telecommunications, and manufacturing as industries that will benefit the most, with finance and defense expected to contribute $20 billion and $10 billion annually by 2030.

• Quantum computing is also projected to create 250,000 new jobs by 2030 and 840,000 by 2035, with job creation driven by public and private investments in regions like the USA, UK, Germany, France, China, and Japan.

• The report highlights the growing significance of Quantum Computing as a Service (QCaaS), which is expected to represent over 40% of the quantum market by 2030, driven by cloud-based quantum services and broader commercial adoption.

🔮 Scientists Develop Integrating Sphere Technique to Recover 47.5% Quantum Correlations Despite Photon Loss in Quantum Systems

QUICK BYTE: Researchers from Texas A&M University and the University of Tennessee at Chattanooga developed a method using an integrating sphere to successfully mitigate scattering in quantum systems, recovering 47.5% of quantum correlations despite significant photon loss.

DETAILS: 

• Researchers from Texas A&M University and the University of Tennessee at Chattanooga developed an experimental scheme using an integrating sphere to mitigate scattering in a quantum system composed of two-mode squeezed light generated with a four-wave mixing process in rubidium vapor.

• The setup reduced the impact of photon loss caused by scattering, recovering 47.5% of the mutual information between quantum modes, even after more than 85% photon loss.

• This method uses mutual information as a measure of quantum correlations and demonstrates how an integrating sphere can recover lost quantum information, which is highly relevant for improving quantum protocols affected by disruptive random processes.

The Chicago Quantum Exchange's analysis of over 5,000 job postings reveals that more than half of quantum technology jobs do not require a graduate degree, with 55% open to candidates with a bachelor's degree or less. The study found that the demand for non-PhD positions is particularly high in the industry sector, where two-thirds of jobs are accessible to those with undergraduate qualifications or equivalent experience, reflecting increasing acknowledgement that transferable skills from adjacent fields and on-the-job training play a part in total experience.

A recent arXiv preprint from the LG Electronics Toronto AI Lab details a new quantum error mitigation technique intended to improve quantum computing performance by reducing sampling overhead while maintaining constant runtime. Through simulations, they demonstrated that EMRE outperforms traditional error mitigation methods such as probabilistic error cancellation by offering a tunable trade-off between computational overhead and error reduction. This provides flexibility for near-term and early fault-tolerant quantum devices, relevant for quantum computation in noisy environments.

Q-CTRL’s recent arXiv preprint introduces GraphDD, a resource-efficient method for embedding dynamical decoupling into large-scale quantum algorithms. It optimally suppresses errors like qubit dephasing and crosstalk in quantum circuits, improving performance without needing extra calibration or numerical optimization. The study experimentally demonstrates improvements in circuit fidelity using this method, especially when tested on IBM’s 127-qubit quantum devices, making GraphDD a potentially scalable solution for error suppression in quantum technology.

Researchers at the Max Planck Institute for Nuclear Physics in Heidelberg successfully controlled the motion of entangled electron pairs in hydrogen molecules using ultrafast laser pulses on the attosecond timescale. By adjusting the time delay between two laser flashes, they manipulated the emission direction of a photoelectron relative to the remaining bound electron, demonstrating a new approach to controlling entangled quantum states. This could contribute to future developments in quantum computing by enabling faster and more precise manipulation of quantum bits.

D-Wave Quantum Inc. announced it will host the first-ever Qubits UAE 2024 quantum computing event in Dubai on September 20, co-organized with Staque and SquareOne, to demonstrate the commercial and research applications of annealing quantum computing. The event will showcase real-world optimization use cases, advancements in quantum-fueled AI technology, and highlight how D-Wave’s quantum computing solutions can contribute to measurable impact for UAE-based organizations across various sectors.

Scientists from the Vector Institute for Artificial Intelligence and the University of Toronto introduce a method to enhance Hamiltonian simulation efficiency on both quantum and classical computers. By incorporating "correctors" into standard product formulas, the authors improve the accuracy and reduce the cost of simulations, particularly for lattice Hamiltonians commonly used in quantum physics. This approach is highly relevant to quantum computing because it supports more accurate and resource-efficient simulations, important for demonstrating the effectiveness of select early quantum algorithms. The method's applicability to both perturbed and non-perturbed systems highlights its versatility for different quantum simulations.

LISTEN

— friday sci-fi ambience —

ENJOY

As we stand at the crossroads of data-driven innovation and the slowing progress of traditional silicon-based systems, enter the npj Unconventional Computing journal. This new Nature publication is dedicated to research that transcends the limitations of conventional algorithms and hardware, encouraging developments inspired by biological, quantum, and complex systems. By embracing diverse fields—from brain-inspired algorithms to quantum and thermodynamic computing—this new publication sees the significance in nurturing a global community dedicated to reshaping the future of computation in profound and unexpected ways.

WATCH

While the number of quantum startups is decreasing, the overall ecosystem continues to expand, as highlighted by CEO Alex Challans in the Quantum Speaker Series: