Research Team Develops Bacteria-Based Biocomputer to Solve Complex Problems

An international research team led by scientists from McGill University has created a biocomputer that uses bacteria for computation. One significant advantage of this system is that bacteria can simultaneously explore multiple potential solutions. As a result, this technology may require less memory and resources when tackling highly complex problems, demonstrating greater efficiency compared to traditional computers. When people think of computers, they typically envision electronic chips, processors, and circuits. However, scientists have now developed a different type of computing system that utilizes living bacteria instead of conventional hardware.

Scientists believe this technology could help solve certain problems that conventional computers struggle to address.

How the Biocomputer Works

How does the biocomputer change the way computers solve problems? Traditional computers typically solve problems step by step. They test one potential solution before moving on to the next until the correct answer is found. As problems become increasingly complex, the time and computational power required also grow. In contrast, the bacteria-based biocomputer operates differently. It does not check solutions one by one but can simultaneously examine multiple possibilities. To achieve this, scientists first convert mathematical problems into a network of paths and then create tiny interconnected channels called microfluidic channels.

Each path represents a possible solution. As bacteria move through these channels, they effectively test multiple options simultaneously along different paths. Special junctions serve as decision points, helping guide the bacteria through the network.

Bacterial Reproduction and Computational Power

One of the most intriguing features of this technology is that bacterial growth naturally increases computational power. Bacteria reproduce very quickly, meaning the number of biological processors grows over time. As new bacteria are produced, more computational units become available to participate in the process. Unlike traditional computers, which often require hardware upgrades to enhance performance, this system benefits from the natural reproductive capacity of bacteria. Researchers must also control bacterial growth to prevent overpopulation. They achieve this by regulating the temperature of the system. By adjusting environmental conditions, scientists can manage the rate of bacterial reproduction.

Subsequently, automated image analysis tools are used to track the movement of bacteria and identify the paths leading to the correct solution.

According to the research team, the main advantage of this approach lies in the millions of biological processors working together. Although individual bacteria are not as fast as electronic processors, large numbers of bacteria can explore different possibilities in parallel. This helps reduce the time required to solve certain complex problems. "Modern electronic computers can perform millions of operations per second using a single chip," said senior author and bioengineering professor Dan Nicolau. "With bacterial division, we have a million chips operating simultaneously. More chips mean faster problem-solving, even if each 'processor' operates at a slower rate per second."

The exponential division of bacteria can scale to the size of the problem. This represents a whole new way of computing."

Scientists believe that biocomputers could have applications in fields such as artificial intelligence, data encryption, and molecular biology. They may also assist researchers in studying protein structures and other scientific challenges involving vast combinations. These areas can pose challenges even for powerful computers. "Our approach targets problems that electronic computers were not designed to solve, such as mapping protein structures," Nicolau said. "Reportedly, artificial intelligence has addressed this issue, but that is only partially correct, as it can only scan available data. We propose this technology to solve problems rather than estimate based on past information."

Researchers explicitly state that bacterial computers are not intended to replace traditional or quantum computers. Instead, they are designed to complement existing technologies, providing an alternative method for tackling difficult computational challenges. This research, which has involved nearly two decades of international collaboration, highlights the potential of biological computing and its possible role in future technologies. The paper has been published in the journal Microsystems & Nanoengineering.

Potential Applications and Challenges of Biocomputers

The development of biocomputers represents a novel approach to computation, leveraging the properties of bacteria to solve problems that traditional computers find challenging. The potential of this technology lies in its ability to function across multiple domains, particularly in scientific challenges that require handling vast combinations. As bacteria reproduce, computational power increases, providing new avenues for solving complex problems. However, this technology is not intended to replace existing computer systems but rather serves as a complement, underscoring the importance of biological computing in future technology.