The Daily Qubit

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

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IN TODAY’S ISSUE:

  • The world’s first strontium-based gas microscope with potential for quantum computing applications

  • Researchers demonstrate resource-efficient multiphoton processing architecture

  • A proposed quantum algorithm for genome assembly

  • Plus, the newest series from Qiskit, Quantum Computing in Practice, is now live

TOP NEWS & RESEARCH

NEWS

QUIONE — THE FIRST OF ITS KIND QUANTUM SIMULATOR

The Brief Byte: ICFO researchers have developed QUIONE, a quantum-gas microscope with future potential for analog quantum computing. The device is the first of its kind to image individual strontium atoms for many-body quantum simulations.

Highlights:

  1. QUIONE is a novel quantum-gas microscope that enables high-resolution imaging of individual strontium atoms. This allows researchers to study quantum phenomena like superposition and entanglement at the atomic level.

  2. The primary goal of QUIONE is to simulate complex quantum systems to understand phenomena that are challenging for classical computers to model.

  3. While QUIONE is currently a powerful tool for quantum simulation, its precise control of quantum states means it could have potential in analog quantum computing.

RESEARCH

RESOURCE-EFFICIENT MULTIPHOTON PROCESSING ARCHITECTURE

The Brief Byte: Researchers demonstrate a resource-efficient multiphoton processing architecture using time-bin encoding in a single spatial mode, a quantum dot photon source, and a programmable interferometer. This reduces the need for multiple components by observing up to eight photons in 16 modes with just one detector.

Highlights:

  1. Multiphoton interference is important for optical quantum technologies, but they require extensive resources and expensive detectors.

  2. The potential for a future efficient universal quantum photonics processor is shown in a resource-efficient method for multiphoton interference and processing using just one photon source, one loop interferometer, and one detector, observing the interference of up to 8 photons in 16 modes.

  3. The one-loop setup reduces n-photon collision-free rates as photon numbers increase; adding a second loop could improve connectivity and increase rates.

RESEARCH

QUANTUM ALGORITHM PROPOSED FOR GENOME ASSEMBLY

DNA

The Brief Byte: A proposed hybrid assembly quantum algorithm combines high-accuracy short reads and error-prone long reads to address sequencing errors and repetitive sequences in genome assembly.

Highlights:

  1. DNA sequencing technology has advanced has advanced enough to allow entire human genomes to be sequenced in hours compared to years. Genome reconstruction remains complex, especially with the limitations of short reads in assembling repetitive sequences. Newer technologies producing longer reads help but are error-prone and expensive. Quantum computing presents a potential solution to manage the computational demands.

  2. Researchers proposed an algorithm using the variational quantum eigensolver and a divide-and-conquer strategy. The algorithm operates efficiently on quantum computers which shows the potential for handling large-scale computational problems in computational biology.

  3. Despite its potential, the hybrid quantum algorithm faces challenges like the need for a large number of qubits and optimization issues with increasing problem sizes. Future work will focus on improving algorithm efficiency and exploring further applications in the field of bioinformatics.

MORE BRIEF BYTES

ENTANGLED INSIGHTS

RECOMMENDED RESOURCE

NEW SERIES FROM QISKIT - QUANTUM COMPUTING IN PRACTICE

It’s here! The new Quantum Computing in Practice series from Qiskit has released the first episode. This course will be dedicated to learning how to utilize quantum processors with over 100 qubits, covering application areas, error mitigation, and Qiskit Runtime best practices.

EVENTS

FEATURED JOBS

UNTIL TOMORROW.

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