{"id":81504,"date":"2024-02-26T10:24:16","date_gmt":"2024-02-26T18:24:16","guid":{"rendered":"https:\/\/techreviewers.net\/google-deepmind-taps-the-power-of-its-ai-to-accelerate-quantum-computers\/"},"modified":"2024-02-26T10:24:16","modified_gmt":"2024-02-26T18:24:16","slug":"google-deepmind-taps-the-power-of-its-ai-to-accelerate-quantum-computers","status":"publish","type":"post","link":"https:\/\/techreviewers.net\/google-deepmind-taps-the-power-of-its-ai-to-accelerate-quantum-computers\/","title":{"rendered":"Google DeepMind taps the power of its AI to accelerate quantum computers"},"content":{"rendered":"
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In new research, Google DeepMind has demonstrated that its AI can help accelerate the development of quantum computers<\/a> \u2014 taking one step further in combining two of the most disruptive technologies.<\/p>\n

DeepMind worked together with UK-based Quantinuum to solve a key challenge in fault-tolerant quantum computers: reducing the number of T gates.<\/p>\n

T gates are essential in implementing a quantum circuit<\/a> \u2014 a network of gates that manipulates qubits to generate algorithms. However, T gates are also the most expensive and most resource-intensive gates of the network.<\/p>\n

To address this, the team developed AlphaTensor-Quantum, an extension of DeepMind\u2019s AlphaTensor<\/a>, the first AI system that can discover efficient algorithms for tasks such as matrix multiplication<\/a>.<\/p>\n

AlphaTensor-Quantum is an AI<\/a> model that leverages the relationship between optimising T-count and tensor decomposition, using deep reinforcement learning.<\/p>\n

In contrast to existing approaches, the model can incorporate domain-specific knowledge about quantum computation as well as use \u201cgadgetisation\u201d techniques, which implement alternative gates by introducing additional qubits and operations. This way, the AI can significantly reduce the number of T gates.<\/p>\n

According to the researchers, AlphaTensor-Quantum outperforms existing systems for T-count optimisation and is as efficient as the \u201cbest\u201d human-designed solutions across numerous applications. It can also save \u201chundreds of hours\u201d of research by optimising the process in a fully automated way, the team says in the paper<\/a>.<\/p>\n

DeepMind and Quantinuum envision applications in quantum chemistry and related fields, and suggest that possible future research could focus on improving the algorithm\u2019s neural network architecture.<\/p>\n

We\u2019ve reached out to Quantinuum for comments and we\u2019ll update this piece accordingly.<\/p>\n<\/p><\/div>\n

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In new research, Google DeepMind has demonstrated that its AI can help accelerate the development of quantum computers \u2014 taking one step further in combining two of the most disruptive technologies. DeepMind worked together with UK-based Quantinuum to solve a key challenge in fault-tolerant quantum computers: reducing the number of […]<\/p>\n","protected":false},"author":41,"featured_media":81505,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ocean_post_layout":"","ocean_both_sidebars_style":"","ocean_both_sidebars_content_width":0,"ocean_both_sidebars_sidebars_width":0,"ocean_sidebar":"","ocean_second_sidebar":"","ocean_disable_margins":"enable","ocean_add_body_class":"","ocean_shortcode_before_top_bar":"","ocean_shortcode_after_top_bar":"","ocean_shortcode_before_header":"","ocean_shortcode_after_header":"","ocean_has_shortcode":"","ocean_shortcode_after_title":"","ocean_shortcode_before_footer_widgets":"","ocean_shortcode_after_footer_widgets":"","ocean_shortcode_before_footer_bottom":"","ocean_shortcode_after_footer_bottom":"","ocean_display_top_bar":"default","ocean_display_header":"default","ocean_header_style":"","ocean_center_header_left_menu":"","ocean_custom_header_template":"","ocean_custom_logo":0,"ocean_custom_retina_logo":0,"ocean_custom_logo_max_width":0,"ocean_custom_logo_tablet_max_width":0,"ocean_custom_logo_mobile_max_width":0,"ocean_custom_logo_max_height":0,"ocean_custom_logo_tablet_max_height":0,"ocean_custom_logo_mobile_max_height":0,"ocean_header_custom_menu":"","ocean_menu_typo_font_family":"","ocean_menu_typo_font_subset":"","ocean_menu_typo_font_size":0,"ocean_menu_typo_font_size_tablet":0,"ocean_menu_typo_font_size_mobile":0,"ocean_menu_typo_font_size_unit":"px","ocean_menu_typo_font_weight":"","ocean_menu_typo_font_weight_tablet":"","ocean_menu_typo_font_weight_mobile":"","ocean_menu_typo_transform":"","ocean_menu_typo_transform_tablet":"","ocean_menu_typo_transform_mobile":"","ocean_menu_typo_line_height":0,"ocean_menu_typo_line_height_tablet":0,"ocean_menu_typo_line_height_mobile":0,"ocean_menu_typo_line_height_unit":"","ocean_menu_typo_spacing":0,"ocean_menu_typo_spacing_tablet":0,"ocean_menu_typo_spacing_mobile":0,"ocean_menu_typo_spacing_unit":"","ocean_menu_link_color":"","ocean_menu_link_color_hover":"","ocean_menu_link_color_active":"","ocean_menu_link_background":"","ocean_menu_link_hover_background":"","ocean_menu_link_active_background":"","ocean_menu_social_links_bg":"","ocean_menu_social_hover_links_bg":"","ocean_menu_social_links_color":"","ocean_menu_social_hover_links_color":"","ocean_disable_title":"default","ocean_disable_heading":"default","ocean_post_title":"","ocean_post_subheading":"","ocean_post_title_style":"","ocean_post_title_background_color":"","ocean_post_title_background":0,"ocean_post_title_bg_image_position":"","ocean_post_title_bg_image_attachment":"","ocean_post_title_bg_image_repeat":"","ocean_post_title_bg_image_size":"","ocean_post_title_height":0,"ocean_post_title_bg_overlay":0.5,"ocean_post_title_bg_overlay_color":"","ocean_disable_breadcrumbs":"default","ocean_breadcrumbs_color":"","ocean_breadcrumbs_separator_color":"","ocean_breadcrumbs_links_color":"","ocean_breadcrumbs_links_hover_color":"","ocean_display_footer_widgets":"default","ocean_display_footer_bottom":"default","ocean_custom_footer_template":"","ocean_post_oembed":"","ocean_post_self_hosted_media":"","ocean_post_video_embed":"","ocean_link_format":"","ocean_link_format_target":"self","ocean_quote_format":"","ocean_quote_format_link":"post","ocean_gallery_link_images":"on","ocean_gallery_id":[],"footnotes":""},"categories":[2668,2666],"tags":[2667,2665],"_links":{"self":[{"href":"https:\/\/techreviewers.net\/wp-json\/wp\/v2\/posts\/81504"}],"collection":[{"href":"https:\/\/techreviewers.net\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techreviewers.net\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techreviewers.net\/wp-json\/wp\/v2\/users\/41"}],"replies":[{"embeddable":true,"href":"https:\/\/techreviewers.net\/wp-json\/wp\/v2\/comments?post=81504"}],"version-history":[{"count":0,"href":"https:\/\/techreviewers.net\/wp-json\/wp\/v2\/posts\/81504\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techreviewers.net\/wp-json\/wp\/v2\/media\/81505"}],"wp:attachment":[{"href":"https:\/\/techreviewers.net\/wp-json\/wp\/v2\/media?parent=81504"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techreviewers.net\/wp-json\/wp\/v2\/categories?post=81504"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techreviewers.net\/wp-json\/wp\/v2\/tags?post=81504"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}