Welcome to the Quantum Realm. 

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

I love to hear from you! Send me a message at [email protected] for musings, for fun, or for insight if it so appeals to you.

IN TODAY’S ISSUE:

• Riverlane to receive $2.6 million grant to build upon existing Deltaflow.Decode technology and advance development of real-time quantum error decoder

• Researchers introduce groundbreaking algorithms for linear systems that minimize qubit requirements

• The quantum processor market set for exponential growth, projected to reach billions by 2033, driven by advances in sectors like cybersecurity.

• Plus, IBM 2024 Quantum Challenge coming next month, maker of Ozempic to invest millions in quantum, and successful generation of GHZ states via QuiX Quantum tech

BRIEF BYTES

NEWS FOR THOSE IN A HURRY

• IBM has launched the 2024 Quantum Challenge where participants can further explore the capabilities of Qiskit 1.0. The challenge will take place June 5-14 and offers educational Jupyter notebook “labs” that vary in complexity. These labs are designed for newcomers and experienced users alike and allow users to progress through a series of auto-graded coding tasks.

• Novo Holdings of Novo Nordisk (maker of Wegovy and Ozempic) plans to invest $200 million in quantum computing, with a focus on Nordic life science startups. The investment firm hopes this contribution will help in accelerating advancements in drug discovery and other life sciences applications.

• Researchers have demonstrated on-chip generation of Greenberger-Horne-Zeilinger states using QuiX Quantum’s technology. These states are crucial for creating complex entangled structures in photonic quantum computers.

• The global quantum processors market is projected to grow from $1.07 billion in 2023 to $5.02 billion by 2033, with a compound annual growth rate of 16.7%. This growth is fueled by significant advancements in quantum computing technology and increased investments from both public and private sectors within fields such as healthcare, finance, and cybersecurity.

• Keysight Technologies introduces pioneering testing capabilities to Keysight Inspector for post-quantum cryptography which will enable device and chip vendors to address vulnerabilities in hardware design. This innovation supports the testing of advanced encryption algorithms including those recommended by NIST.

TOP HEADLINES IN NEWS & RESEARCH

NEWS

RIVERLANE SECURES $2.6 MILLION GRANT TO ADVANCE ERROR CORRECTION

The Brief Byte: Riverlane to advance the development of a real-time quantum error decoder with a £2.1 million ($2.6 million) grant from the European Innovation Council.

Breakdown:

• Riverlane has been awarded a £2.1 million grant by the European Innovation Council under the Horizon Europe program. This funding will support the development of an advanced quantum error decoder that will allow for real-time decoding of quantum operations.

• The prototype of this decoder will be developed in collaboration with Dutch quantum computing company Qblox, and integrated into their quantum control systems to validate compatibility across different quantum computing systems.

• Building on their existing Deltaflow.Decode technology, Riverlane’s goal is to extend its decoding capabilities in order to handle the massive amount of data outputs of quantum computers.

Check out more about Riverlane’s decoder below:

RESEARCH

IMPROVING HARDWARE EFFICIENCY OF FAULT-TOLERANT ALGORITHMS — NEW APPROACHES TO LINEAR ALGEBRA WITHOUT ORACLES

The Brief Byte: A new study proposes a set of randomized quantum algorithms for linear algebra tasks that replace the need for a quantum oracle and reduce hardware constraints that stem from qubit count.

Breakdown:

• As quantum technology progresses, so does the search for demonstrable quantum advantage. To bring about fault-tolerant quantum computing sooner, we would need to find a way to reduce the costs associated. Previous attempts towards this goal have focused on algorithms that reduce circuit depth.

• This paper focuses on a new approach that centers on reducing qubit overhead, specifically in the context of linear systems problems. For these problems, quantum algorithms typically use a quantum oracle to access matrix elements, but these require increased qubits and therefore have a higher demand on resources.

• Researchers have proposed an alternative class of randomized quantum algorithms for sampling properties of matrix functions using a Fourier-series approximation without the need for quantum block encodings or coherent oracle access. Instead, these start with classical data structures, as illustrated by the image above.

quantum oracle: a black box operation used within quantum algorithms that evaluates a given function without revealing how the function is executed

If you’re not yet familiar with quantum oracles or how they work, check out the below course video:

EVENTS

• NOW - Friday, May 3 | Purdue University’s Quantum Summer School

• Wednesday, May 1 | Results w/ QuEra: New Features on QuEra’s Analog Computer

• Wednesday, May 1 - Thursday, May 2 | Quantum Connections Conference at University of Waterloo (in-person only)

• Thursday, May 2 | IQM Resonance Quantum Computing Cloud Overview

• Monday, May 9 | Open-sourcing the Quantum Revolution with William Zeng

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

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

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

JOBS POSTED WITHIN LAST 24 HOURS

• Quantum Futures Cryogenic Engineer | New York

• SandboxAQ Senior Scientific Leader: Computational Chemistry | Remote

• SandboxAQ Technical Program Manager, Quantum Security | Remote

• Google Quantum Measurement Engineer, Hardware | Goleta, CA $122K - $178K

• Brookhaven National Laboratory Postdoctoral Research Associate Quantum Dynamics | Upton, NY $68.4K - $113.2K

• Brookhaven National Laboratory Postdoctoral Research Associate Quantum Materials| Upton, NY $70.2K - $116.2K

UNTIL TOMORROW.

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