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Revolutionizing Quantum Communication: Direct Connections Between Multiple Processors

Researchers developed a scalable interconnect that facilitates all-to-all communication among many quantum processor modules by enabling each to send and receive quantum information on demand in a user-specified direction. They used the interconnect to demonstrate remote entanglement, a type of correlation that is key to creating a powerful, distributed network of quantum processors.

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Quantum computers have the potential to solve complex problems that would be impossible for even the most powerful classical supercomputers. To achieve this, multiple quantum processors need to communicate with each other directly.

The current architecture used to interconnect superconducting quantum processors is “point-to-point” in connectivity, requiring a series of transfers between network nodes, with compounding error rates. Researchers at MIT have developed a new device that enables scalable, “all-to-all” communication among multiple quantum processors.

Their interconnect device includes a superconducting wire, or waveguide, that shuttles photons between processors and can be routed as far as needed. The researchers used this interconnect to demonstrate remote entanglement, a type of correlation between quantum processors that are not physically connected.

“This is a crucial step toward building a large-scale quantum processor from smaller-scale modules,” says Aziza Almanakly, lead author of the paper on the interconnect. “In the future, a quantum computer will probably need both local and nonlocal interconnects.”

The researchers previously developed a quantum computing module that enabled them to send information-carrying microwave photons in either direction along a waveguide. In their new work, they took that architecture a step further by connecting two modules to a waveguide.

Each module is composed of four qubits, which serve as an interface between the waveguide carrying the photons and the larger quantum processors. The researchers use a series of microwave pulses to add energy to a qubit, which then emits a photon. Carefully controlling the phase of those pulses enables a quantum interference effect that allows them to emit the photon in either direction along the waveguide.

Reversing the pulses in time enables a qubit in another module any arbitrary distance away to absorb the photon. “Pitching and catching photons enables us to create a ‘quantum interconnect’ between nonlocal quantum processors,” explains William D. Oliver, senior author of the paper.

The researchers used this architecture to generate remote entanglement among two modules, demonstrating that even after the photon is gone, there is still a correlation between the two distant qubits. Remote entanglement allows them to take advantage of these correlations and perform parallel operations between two qubits, even though they are no longer connected and may be far apart.

However, transferring a photon between two modules is not enough to generate remote entanglement. The researchers needed to prepare the qubits and the photon so that the modules “share” the photon at the end of the protocol. They did this by halting the photon emission pulses halfway through their duration.

Once the receiver module absorbs that “half-photon,” the two modules become entangled. But as the photon travels, joints, wire bonds, and connections in the waveguide distort the photon and limit the absorption efficiency of the receiving module.

To generate remote entanglement with high enough fidelity, the researchers needed to maximize how often the photon is absorbed at the other end. They used a reinforcement learning algorithm to learn how the propagating photon would be distorted in advance. Then, they “predistorted” the photon, so it was shaped in the best way possible to maximize emission and absorption as it was transmitted between modules.

When they implemented this optimized absorption protocol, they were able to show photon absorption efficiency greater than 60 percent. This absorption efficiency is high enough to prove that the resulting state at the end of the protocol is entangled, a major milestone in this demonstration.

The researchers are now working on improving the absorption efficiency by optimizing the path over which the photons propagate and making the protocol faster so there are fewer chances for errors to accumulate. They believe that their remote entanglement generation protocol can also be expanded to other kinds of quantum computers and bigger quantum internet systems.

This work was funded, in part, by the U.S. Army Research Office, the AWS Center for Quantum Computing, and the U.S. Air Force Office of Scientific Research.

Brain Tumor

Unlocking the Secrets of Life: New Research Reveals How Proteins Function at the Molecular Level

A study uncovers intricate details about protein function at the molecular level. The discovery could transform disease diagnostics and treatment.

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The human body is made up of trillions of tiny cells, each working together in harmony to keep us alive. At the heart of this complex system are proteins – the building blocks of life that facilitate communication between cells and ensure biological systems function properly. Despite their importance, there’s still much we don’t know about proteins, including how many exist within a human cell.

A team of scientists at the University of Copenhagen has made a groundbreaking discovery that could revolutionize our understanding of protein research. Led by Professor Jesper Velgaard Olsen, the researchers have developed a cutting-edge technology called SC-pSILAC that allows them to analyze and quantify proteins in individual cells with unprecedented depth.

With this new approach, scientists can measure how individual cells produce and break down proteins – a process known as ‘protein turnover’. This technique has significant implications for cancer research, drug development, and personalized medicine. By tracking the abundance of proteins and the rate at which they are turned over in single cells, researchers can gain a deeper understanding of how specific drugs impact protein function.

The SC-pSILAC method is particularly useful when studying cancer cells, which divide rapidly and are typically targeted by chemotherapy. However, some cancer cells do not divide, allowing them to evade chemotherapy. The new method helps identify these treatment-resistant cells, leading to better therapies.

In one notable example, the researchers used SC-pSILAC to examine how the cancer medication bortezomib impacts protein turnover in individual cells. Their findings uncovered specific proteins and previously unknown biological processes influenced by the treatment.

“This method represents a significant leap in protein research,” Professor Olsen says. “We have worked for years to analyze proteins within cells, but only recently has technological progress enabled us to do so at the single-cell level.”

Thanks to this innovation, scientists now have a far more detailed understanding of how proteins operate at the molecular level. The hope is that this knowledge will drive advancements in disease diagnostics and treatment strategies, ultimately improving human health and saving lives.

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Brain Tumor

Unlocking the Secrets of Zombie Cells: New Findings Reveal Distinct Subtypes of Senescent Skin Cells

Researchers have identified three subtypes of senescent skin cells with distinct shapes, biomarkers, and functions — an advance that could equip scientists with the ability to target and kill the harmful types while leaving the helpful ones intact.

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The article “Unlocking the Secrets of Zombie Cells: New Findings Reveal Distinct Subtypes of Senescent Skin Cells” reveals that senescent skin cells, also known as zombie cells, are not all the same. Researchers from Johns Hopkins University have identified three subtypes of senescent fibroblasts with distinct shapes, biomarkers, and functions.

The study published in Science Advances analyzed skin cell samples from 50 healthy donors between the ages of 20 and 90 who participated in the Baltimore Longitudinal Study. The researchers extracted fibroblasts associated with skin tissue and pushed them toward senescence by damaging their DNA. Using specialized dyes, they captured images of the cells’ shapes and stained elements that are known to indicate senescent cells.

Algorithms developed for this study analyzed the images, measured 87 different physical characteristics for each cell, and sorted the fibroblasts into groups. The researchers found that only one subtype of senescent fibroblast, named C10, was more prevalent in older donors.

The three distinct subtypes of senescent fibroblasts (C10, C7, and C3) responded differently when exposed to existing drug regimens designed to target and kill zombie cells. Dasatinib + Quercetin, a drug being tested in clinical trials, most effectively killed C7 senescent fibroblasts but was limited in killing the age-associated C10 senescent fibroblasts.

The findings show that drugs can target one subtype of senescent skin cells and not the others. With further research, the researchers hope to develop new therapies that preferentially target the senescence subtype that drives inflammation and disease.

This study has implications for cancer treatments and age-associated diseases. Certain therapies are being designed to trigger senescence in cancer cells, but the buildup of senescent cells during treatment can be problematic as those cells may promote inflammation at a time when a patient’s immune system is at its most vulnerable.

The researchers plan to look at senescence subtypes in tissue samples, not just in flasks and petri dishes, to see how those subtypes might be associated with various skin diseases and age-associated diseases. They hope that their technology will eventually be used to help predict which drugs might work well for targeting senescent cells that contribute to specific diseases.

The dream is to provide more information in a clinical setting to help with individual diagnoses and boost health outcomes.

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Breast Cancer

The Hidden Culprit Behind Colorectal Cancer: Uncovering the Role of Colibactin in Early-Onset Cases

An international team has identified a potential microbial culprit behind the alarming rise in early-onset colorectal cancer: a bacterial toxin called colibactin. Scientists report that exposure to colibactin in early childhood imprints a distinct genetic signature on the DNA of colon cells — one that may increase the risk of developing colorectal cancer before the age of 50.

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Colorectal cancer was once considered a disease that predominantly affected older adults, but its incidence has been rising alarmingly among young people worldwide. In an effort to explain this modern medical mystery, researchers have identified a potential microbial culprit behind the surge: a bacterial toxin called colibactin.

Produced by certain strains of Escherichia coli that reside in the colon and rectum, colibactin is a toxin capable of altering DNA. The new study analyzed 981 colorectal cancer genomes from patients with both early- and late-onset disease across 11 countries and found that exposure to colibactin in early childhood imprints a distinct genetic signature on the DNA of colon cells – one that may increase the risk of developing colorectal cancer before the age of 50.

The study revealed that colibactin-related mutations were 3.3 times more common in early-onset cases than in those diagnosed after the age of 70 and were particularly prevalent in countries with high incidence of early-onset cases. The researchers demonstrated that colibactin-associated mutations arise early in tumor development, consistent with prior studies showing that such mutations occur within the first 10 years of life.

The findings have sobering implications, as colorectal cancer is projected to become the leading cause of cancer-related death among young adults by 2030. Until now, the reasons behind this surge have remained unknown, and young adults diagnosed with colorectal cancer often have no family history or risk factors.

The study’s lead author emphasized that understanding the role of colibactin in early-onset colorectal cancer is crucial for developing targeted prevention strategies and early detection tests. The researchers are investigating several hypotheses, including how children are exposed to colibactin-producing bacteria, whether certain environments or lifestyle behaviors contribute to its production, and whether probiotics can safely eliminate harmful bacterial strains.

As the study highlights the potential link between environmental exposures in early life and cancer risk, it reshapes our understanding of cancer etiology. The researchers call for sustained investment in this type of research to prevent and treat cancer before it’s too late.

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