Tech
Quantum computing can make HVAC systems smarter and greener
Residential heating, ventilation, and air conditioning (HVAC) systems constitute a significant proportion of energy usage in buildings, necessitating energy management optimization. In this context, occupancy-aware HVAC control is a promising option with 20–50% energy savings in homes. However, occupancy sensing technology suffers from long payback times, privacy issues, and poor comfort. Moreover, there is an increasing need for further advanced technologies that help regulate indoor air quality in addition to energy control.
To meet these expectations, scientists have recently turned to intelligent control methods such as quantum reinforcement learning (QRL)-based on quantum computing principles. Such approaches can notably accelerate the machine learning process as well as handle the complexity of real-world building dynamics.
In a new study, a group of researchers from the Republic of Korea, led by Sangkeum Lee, Assistant Professor of Computer Engineering at Hanbat National University, have presented the first demonstration of continuous-variable, quantum-enhanced reinforcement learning for residential HVAC and home power management. Their findings are published in the journal Energy and AI.
Dr. Lee says, “Unlike conventional reinforcement learning techniques, QRL leverages quantum computing principles to efficiently handle high dimensional state and action spaces, enabling more precise HVAC control in multi-zone residential buildings. Our framework integrates real-time occupancy detection using deep learning with operational data, including power consumption patterns, air conditioner control data, and external temperature variations.”
Furthermore, the proposed technology integrates features such as multi-zone cooling—to control the temperature of individual zones in a building—and clustering—to group similar data points and adjust cooling. In this way, a single controller jointly optimizes comfort, energy cost, and carbon signals in real time.
The researchers performed simulations based on real world data from 26 residential households over a three-month period. They found that QRL HVAC control significantly outperforms deep deterministic policy gradient method as well as proximal policy optimization algorithm, while maintaining thermal comfort, achieving 63% and 62.4% reductions in power consumption, respectively, and 64.4% and 62.5% decrease in electricity costs, respectively.
The present approach comes with many more benefits. It is retrofit-friendly and works with standard temperature, occupancy, and CO2 sensors and common HVAC equipment and thermostats. It is also robust to uncertainty, easily handling noisy forecasts on weather and occupancy and device constraints. In addition, it has a generalizable framework that can be extended from apartments to small buildings and microgrids.
Dr. Lee says, “It can be utilized in smart thermostats and autonomous home energy management systems that co-optimize comfort, bills, and emissions without manual tuning and rooftop photovoltaics and home battery scheduling. Our framework is also useful for utility demand-response and time-of-use programs with automated control.”
QRL-based HVAC control can notably be applied at community or campus scale through grid-interactive efficient buildings and virtual power plants (VPPs). Herein, millions of homes can coordinate as VPPs to stabilize renewables-heavy grids. It can also ensure personalized indoor environmental quality within carbon budgets and integrate advanced intelligent control options.
As hardware matures in the coming years, quantum-accelerated policy research could facilitate faster training for complex multi-energy systems such as HVAC, electric vehicles, and energy storage systems. In the long term, this work is expected to guide the path toward standardized secure controllers that can be certified and deployed at a wide scale.
More information:
Sarvar Hussain Nengroo et al, Continuous variable quantum reinforcement learning for HVAC control and power management in residential building, Energy and AI (2025). DOI: 10.1016/j.egyai.2025.100541
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Hanbat National University Industry–University Cooperation Foundation
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Quantum computing can make HVAC systems smarter and greener (2025, October 2)
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Tech
I Keep Cooking Thanksgiving! Here’s the Best Holiday Meal Delivery
Making a full Thanksgiving feast for guests can be daunting, for some perhaps even terrifying. The world, and especially Hallmark movies, is full of holiday disaster stories: burnt turkeys, failed desserts, steamed hams. But I’m not bragging when I say that the first Thanksgiving dinner I prepared for my extended family—a little early, this year—was an unmitigated success.
My aunt couldn’t stop talking about the black pepper in the biscuits and the sage on the carrots. My uncle went in for the turkey and the apple-sausage stuffing. My father didn’t speak at all, unless prompted. He just ate and ate. This was a compliment.
But of course, I had cheated. I had ordered my Thanksgiving in the mail—one of the new breed of Thanksgiving meal kits.
The meal was genuinely home-cooked, of course, prepared mostly from scratch. But the entire seven-platter feast—its ingredients and recipes—had arrived two days before, in a box large enough to house a primal cut of beef. It was Thanksgiving in a box: a $200 “Chef’s Table Thanksgiving” meal kit available from sister meal delivery plans Sunbasket and Gobble.
The spread from Sunbasket was vast and generous. The table contained a nearly 3-pound roast of turkey, mounds of mashed potato, pebbled cranberry compote, roasted carrots dressed in miso-sage butter, brussels sprouts dappled with pecorino romano and pancetta, an endless platter of fennel-apple-sausage-stuffing, Gruyère black-pepper biscuits caked more than an inch tall, a tureen of deep brown turkey gravy, a ginger apple crisp waiting in the wings.
Sunbasket is among a new bounty of meal kit companies that aim to ease the stress of the holidays by doing the planning and the shopping for you—big meal boxes tailor-made for those who still want to make a home-cooked meal but for whom the prospect of planning a vast and complicated feast is prohibitive. In fact, two weeks later I cooked another Thanksgiving meal from Blue Apron, this time for my sister’s family.
Here was my experience with Sunbasket and Blue Apron—and some of the other Thanksgiving meal delivery options to get your whole Thanksgiving meal delivered to your home.
Want meal kits for more everyday occasions? See WIRED’s guides to the best meal delivery services, and the best plant-based meal delivery kits.
The Blue Apron à la Carte Thanksgiving (and Holiday) Meal Kit
Available till December 29. Order by November 19 to ensure delivery by Thanksgiving.
Blue Apron, one of the OG meal kits in the US, has undergone a wholesale transformation this year. One of the biggest changes is that subscriptions are no longer required, and à la carte meal ordering is possible—indeed, it’s now my favorite no-subscription meal kit offering. What this means is that for this Thanksgiving, you can order individual Thanksgiving recipe kits to prep fresh at home, without ever setting foot in a crowded grocery store.
That means roasted grape and goat cheese salad ($12), a big ol’ turkey breast with gravy and cranberry sauce ($50), rosemary herb stuffing ($15), a truly excellent casserole worth of truffle-oiled Southern mac and cheese ($20), almond apple crumb pie ($15), brown butter mashed potatoes ($8), challah rolls with maple ($8) and roasted brussels sprouts with pistachios, ($10). I made all of these recipes for my sister’s family and our parents, a little early this year—and it was a surprisingly delicious feast fit for at least eight people. Probably even 10, if you add an extra order of mashed potatoes.
Tech
The Best Binoculars Will Help You Find the Ivory Billed Woodpecker
You get good magnification, with a waterproof (IPX7 rating) and fogproof design in a lightweight package (11.8 ounces). These also have two things that specifically make them great for kids: rugged construction and a nice, rubberized grip. I can’t tell you how many trees and rocks these have bashed into while around my son’s neck, and they’re still as good as new.
Stargazing Binoculars
When you think stargazing you probably think telescopes, but binoculars can work too, especially larger, higher-magnification models like these Celestron Skymasters. The first thing to know is that these are huge—most of the time you’ll want to use them with a tripod, which is not included in the price (they do include an adapter, which I used to put them on a photo tripod, which worked fine). The Porro prism design (see above), with 15x magnification and 70mm objective lenses, make these nice and bright, perfect for getting good views of the moon. They also work for larger clusters and nebulae. They do work for birding as well, but it’s more like using a spotting scope. They’re nice for digiscoping, though if you’re viewing something reasonably stationary, like water birds.
As with all Celestron binos there’s a nice big, smooth focusing knob, and they also have long eye relief which makes them easy to use with glasses. There is a fair bit of chromatic aberration, especially with bright stars or the moon, but I didn’t find it distracting. In fact, for the price, these provide surprisingly great views.
Image-Stabilizing Binoculars
Image-stabilized binoculars use electronics to smooth out your view, similar to what action cams do to get rid of jittery video. There are quite a few models out there, and we are still testing, but here are a few that have stood out from the pack so far.
Image-stabilized binoculars tend to be expensive, but Canon has quite a few budget models worth considering. They’re simple to use. You just tap the button on top for five minutes of stabilization, or tap again to turn it off sooner. The tech detects your movement and adjusts for it optically, in real-time. The Canon 8×20 IS, its smallest, is doubly pocket-friendly: They’re surprisingly affordable and fit in a large pocket. At 15-ounce plus battery, they won’t weigh you down.
The 8X magnification is good for wildlife and sports, as is the 10X magnification of the only slightly larger Canon 10×20 IS. The 6.6-degree field of view is narrow but wide enough for most situations.
Tech
Ransomware resilience may be improving in the health sector | Computer Weekly
In a possibly encouraging sign that cyber messaging is cutting through among healthcare providers, the sector appears to be becoming increasingly resilient to ransomware and cyber extortion, with fewer victims experiencing data encryption, fewer paying up and average time to recovery dropping according to a new Sophos report.
Based on global data collected by Vanson Bourne for a wider study, Sophos found that that this year, just 36% of victims in the healthcare industry paid a ransom, down from 61% in 2022, and over half of those that paid handed over less than what was demanded of them.
Demands from ransomware gangs also plummeted during the observed period, down 91% to $343,000 (£260,800) on average this year, with average payments dropping from $1.47m to just $150,000, the lowest of any sector reported in the wider dataset.
The mean cost of recovery – excluding any ransoms – was also down by 60% to $1.02m. And 58% of healthcare respondents said they recovered within a week, a strong improvement from 21% last year.
“It’s … encouraging to see signs of stronger resilience. In the study, nearly 60% of providers reported they recovered within one week, up from just 21% last year, which reflects real progress in preparedness and recovery planning. In a sector where downtime directly affects patient care, faster recovery is critical, but prevention remains the ultimate goal,” said Alexandra Rose, director at the Sophos Counter Threat Unit (CTU) – formerly a Secureworks unit.
However, improvement against some metrics should not be taken as a sign that the ransomware ecosystem is dwindling or the threat landscape becoming any less volatile; ransomware remains as pervasive a threat as ever and the healthcare sector is no more or less immune than any other.
“Healthcare continues to face steady and persistent ransomware activity. Over the past year, Sophos X-Ops identified 88 different groups targeting healthcare organisations, showing that even moderate levels of threat activity can have serious consequences,” said Rose.
In the past 12 months, the X-Ops team said that the most prominent ransomware gangs targeting the health industry were Qilin, INC Ransom and RansomHub – which it tracks as Gold Feather, Gold Ionic and Gold Hubbard respectively.
The data also reveal that although data encryption from ransomware has dropped to its lowest level since 2020, with only a third of attacks resulting in this scenario, the proportion of healthcare providers hit by extortion-only attacks, where data is not encrypted but rather stolen and a ransom demanded has tripled to 12% of attacks this year, from 4% a couple of years ago. The Cl0p/Clop gang, which last week claimed to have conducted a ransomware attack against an unspecified NHS body, is a great exponent of this tactic.
Root causes
Sophos’ data also reveal some insight into the root causes of cyber extortion and ransomware attacks in the healthcare industry, finding that for the first time since 2022, exploited vulnerabilities were the most common technical cause, seen in 33% of incidents, overtaking credential-based attacks, which topped the list in 2023 and 2024.
Respondents also described “multiple organisational factors” that contributed to their falling victim to such attacks, with 42% describing a lack of suitably qualified cyber security people or overall capacity, and 41% describing known but unaddressed security gaps.
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