Researchers Develop Integrated Photonic Platform Based on Thin-Film Lithium Niobate

By Mariana Iriarte

June 3, 2023

Researchers are leveraging photonics to develop and scale the hardware necessary to tackle the stringent requirements of quantum information technologies. By exploiting the properties of photonics, researchers point to the benefits of scaling quantum hardware. If or when successful, researchers say quantum hardware at scale will enable long-range networks, interconnections between multiple quantum devices, and large-scale photonic circuits for quantum computing and simulation.

An interdisciplinary team of researchers from Denmark, Germany, and the UK is focusing on the best ways to use photonics and exploit its properties to develop a platform that can scale quantum hardware, Phys.Org reported. To this end, the team developed an integrated photonic platform based on thin-film lithium niobate, whose single crystals are important materials for optical waves and are an ideal modulator for low-loss mode.

Then, researchers interfaced the integrated photonic platform with deterministic solid-state single-photon sources based on quantum dots (semiconductor crystals) in nanophotonic waveguides. The resulting photons produced are processed with low-loss circuits, which according to the researchers are programmable at speeds of several gigahertz. Researchers state that fast reprogrammable low-loss optical circuits are key for performing tasks in photonic quantum information processing.

Figure 1: Measurement of on-chip quantum interference. Schematic of the experimental setup. Image: DOI: 10.1126/sciadv.adg7268

The high-speed platform paved the way for researchers to achieve several key photonic information processing functionalities. The first processing functionality researchers observed during experiments was on-chip quantum interference. Researchers used the Hong-OuMandel (HOM) effect, which is characterized as when two-photon interference is observed.  Figure 1 displays the on-chip HOM experiments performed that tested the performance of the platform for photonic quantum information processing.

Another processing functionality the team demonstrated that is key to photonic information processing is an integrated single-photon router. Researchers demonstrated a fully on-chip photon router for the quantum dot-emitted photons. To accomplish this, they leveraged the platform’s capability to integrate fast phase shifters with quantum emitter wavelengths to showcase the integrated single-photon router.

Figure 2: Schematic of the experimental setup for the universal 4 × 4 interferometer. Image: DOI: 10.1126/sciadv.adg7268

The team also implemented a universal four-mode interferometer, made up of a network of 6 Mach-Zehnder interferometers and 10 phase modulators, as shown in Figure 2.  Programmable multimode quantum photonic interferometers are paramount for the implementation of essential functionalities of photonic quantum technologies. And, the researchers said they interferometers are able to realize circuits for quantum computational advantage experiments or analog quantum simulation.

In a research paper published by Science Advances, researchers detailed their development of the high-speed, integrated photonic platform based on thin-film lithium niobate. The paper is entitled “High-speed thin-film lithium niobate quantum processor driven by a solid-state quantum emitter.”

The authors argue the results showed that integrated photonics with solid-state deterministic photon sources is a promising option to scale quantum technologies in multiple phases. Going forward, the platform can be further optimized to reduce coupling and propagation loss. In particular, fault-tolerant quantum computing architectures (with loss levels of ≲10% per photon) are a step closer to reality.

The interdisciplinary team of researchers all come from international institutions including the Center for Hybrid Quantum Networks (Hy-Q), Niels Bohr Institute, University of Copenhagen (Denmark); Institute of Physics, University of Muenster (Germany); CeNTech—Center for Nanotechnology (Germany); SoN—Center for Soft Nanoscience (Germany);  Wolfson Institute for Biomedical Research, University College London (UK); Ruhr University Bochum (Germany); and Heidelberg University (Germany).

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Like Nvidia, Google’s Moat Draws Interest from DOJ

October 14, 2024

A "moat" is a common term associated with Nvidia and its proprietary products that lock customers into their hardware and software. Another moat breakdown should have them concerned. The U.S. Department of Justice is Read more…

Recipe for Scaling: ARQUIN Framework for Simulating a Distributed Quantum Computing System

October 14, 2024

One of the most difficult problems with quantum computing relates to increasing the size of the quantum computer. Researchers globally are seeking to solve this “challenge of scale.” To bring quantum scaling closer Read more…

Nvidia Is Increasingly the Secret Sauce in AI Deployments, But You Still Need Experience

October 14, 2024

I’ve been through a number of briefings from different vendors from IBM to HP, and there is one constant: they are all leaning heavily on Nvidia for their AI services strategy. That may be a best practice, but Nvidia d Read more…

Zapata Computing, Early Quantum-AI Software Specialist, Ceases Operations

October 14, 2024

Zapata Computing, which was founded in 2017 as a Harvard spinout specializing in quantum software and later pivoted to an AI focus, is ceasing operations, according to an SEC filing last week. Zapata had gone public one Read more…

AMD Announces Flurry of New Chips

October 10, 2024

AMD today announced several new chips including its newest Instinct GPU — the MI325X — as it chases Nvidia. Other new devices announced at the company event in San Francisco included the 5th Gen AMD EPYC processors, Read more…

NSF Grants $107,600 to English Professors to Research Aurora Supercomputer

October 9, 2024

The National Science Foundation has granted $107,600 to English professors at US universities to unearth the mysteries of the Aurora supercomputer. The two-year grant recipients will write up what the Aurora supercompute Read more…

Nvidia Is Increasingly the Secret Sauce in AI Deployments, But You Still Need Experience

October 14, 2024

I’ve been through a number of briefings from different vendors from IBM to HP, and there is one constant: they are all leaning heavily on Nvidia for their AI Read more…

NSF Grants $107,600 to English Professors to Research Aurora Supercomputer

October 9, 2024

The National Science Foundation has granted $107,600 to English professors at US universities to unearth the mysteries of the Aurora supercomputer. The two-year Read more…

VAST Looks Inward, Outward for An AI Edge

October 9, 2024

There’s no single best way to respond to the explosion of data and AI. Sometimes you need to bring everything into your own unified platform. Other times, you Read more…

Google Reports Progress on Quantum Devices beyond Supercomputer Capability

October 9, 2024

A Google-led team of researchers has presented more evidence that it’s possible to run productive circuits on today’s near-term intermediate scale quantum d Read more…

At 50, Foxconn Celebrates Graduation from Connectors to AI Supercomputing

October 8, 2024

Foxconn is celebrating its 50th birthday this year. It started by making connectors, then moved to systems, and now, a supercomputer. The company announced it w Read more…

The New MLPerf Storage Benchmark Runs Without ML Accelerators

October 3, 2024

MLCommons is known for its independent Machine Learning (ML) benchmarks. These benchmarks have focused on mathematical ML operations and accelerators (e.g., Nvi Read more…

DataPelago Unveils Universal Engine to Unite Big Data, Advanced Analytics, HPC, and AI Workloads

October 3, 2024

DataPelago this week emerged from stealth with a new virtualization layer that it says will allow users to move AI, data analytics, and ETL workloads to whateve Read more…

Stayin’ Alive: Intel’s Falcon Shores GPU Will Survive Restructuring

October 2, 2024

Intel's upcoming Falcon Shores GPU will survive the brutal cost-cutting measures as part of its "next phase of transformation." An Intel spokeswoman confirmed t Read more…

Shutterstock_2176157037

Intel’s Falcon Shores Future Looks Bleak as It Concedes AI Training to GPU Rivals

September 17, 2024

Intel's Falcon Shores future looks bleak as it concedes AI training to GPU rivals On Monday, Intel sent a letter to employees detailing its comeback plan after Read more…

Granite Rapids HPC Benchmarks: I’m Thinking Intel Is Back (Updated)

September 25, 2024

Waiting is the hardest part. In the fall of 2023, HPCwire wrote about the new diverging Xeon processor strategy from Intel. Instead of a on-size-fits all approa Read more…

Ansys Fluent® Adds AMD Instinct™ MI200 and MI300 Acceleration to Power CFD Simulations

September 23, 2024

Ansys Fluent® is well-known in the commercial computational fluid dynamics (CFD) space and is praised for its versatility as a general-purpose solver. Its impr Read more…

AMD Clears Up Messy GPU Roadmap, Upgrades Chips Annually

June 3, 2024

In the world of AI, there's a desperate search for an alternative to Nvidia's GPUs, and AMD is stepping up to the plate. AMD detailed its updated GPU roadmap, w Read more…

Shutterstock_1687123447

Nvidia Economics: Make $5-$7 for Every $1 Spent on GPUs

June 30, 2024

Nvidia is saying that companies could make $5 to $7 for every $1 invested in GPUs over a four-year period. Customers are investing billions in new Nvidia hardwa Read more…

Nvidia Shipped 3.76 Million Data-center GPUs in 2023, According to Study

June 10, 2024

Nvidia had an explosive 2023 in data-center GPU shipments, which totaled roughly 3.76 million units, according to a study conducted by semiconductor analyst fir Read more…

Shutterstock 1024337068

Researchers Benchmark Nvidia’s GH200 Supercomputing Chips

September 4, 2024

Nvidia is putting its GH200 chips in European supercomputers, and researchers are getting their hands on those systems and releasing research papers with perfor Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Leading Solution Providers

Contributors

IBM Develops New Quantum Benchmarking Tool — Benchpress

September 26, 2024

Benchmarking is an important topic in quantum computing. There’s consensus it’s needed but opinions vary widely on how to go about it. Last week, IBM introd Read more…

Intel Customizing Granite Rapids Server Chips for Nvidia GPUs

September 25, 2024

Intel is now customizing its latest Xeon 6 server chips for use with Nvidia's GPUs that dominate the AI landscape. The chipmaker's new Xeon 6 chips, also called Read more…

Quantum and AI: Navigating the Resource Challenge

September 18, 2024

Rapid advancements in quantum computing are bringing a new era of technological possibilities. However, as quantum technology progresses, there are growing conc Read more…

IonQ Plots Path to Commercial (Quantum) Advantage

July 2, 2024

IonQ, the trapped ion quantum computing specialist, delivered a progress report last week firming up 2024/25 product goals and reviewing its technology roadmap. Read more…

Google’s DataGemma Tackles AI Hallucination

September 18, 2024

The rapid evolution of large language models (LLMs) has fueled significant advancement in AI, enabling these systems to analyze text, generate summaries, sugges Read more…

Microsoft, Quantinuum Use Hybrid Workflow to Simulate Catalyst

September 13, 2024

Microsoft and Quantinuum reported the ability to create 12 logical qubits on Quantinuum's H2 trapped ion system this week and also reported using two logical qu Read more…

US Implements Controls on Quantum Computing and other Technologies

September 27, 2024

Yesterday the Commerce Department announced export controls on quantum computing technologies as well as new controls for advanced semiconductors and additive Read more…

Everyone Except Nvidia Forms Ultra Accelerator Link (UALink) Consortium

May 30, 2024

Consider the GPU. An island of SIMD greatness that makes light work of matrix math. Originally designed to rapidly paint dots on a computer monitor, it was then Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire